------------------------------------------------------------------------------------------------------------------------------------
      name:  plog_935
       log:  /accounts/projects/jr_ra/GRscarring/erratum/programs/analysis/runatc_balanced.log
  log type:  text
 opened on:  27 Nov 2024, 18:08:36

. ***************************************************************************************************************
. * runatc_balanced.do
. * Runs and stores coefficients for various models to explain age-time-cohort-state variation
. * in outcomes, separately by gender.
. 
. * Based on runatc_bygender.do, 6/2020
. 
. ***************************************************************************************************************
. 
. clear

. cap project, doinfo

. if _rc==0 {
.         local pdir "`r(pdir)'"                                                      // the project's main dir.
.         local dofile "`r(dofile)'"                                                  // do-file's stub name
.         local sig {bind:{hi:[`dofile'.dta. RP : `dofile'.do, `c(current_date)']}}       // a signature in notes
.         local doasproject=1
. }

. else {
.         local pdir "~/GRscarring"
.         local dofile "runatc_balanced"
.         local doasproject=0
. }

. 
. set more off

. eststo clear

. estimates clear

. local rootdir "`pdir'"

. local thisdir "`pdir'"

. 
. local prepdata "`pdir'/scratch"

. local rawdata "`pdir'/rawdata"

. local output "`pdir'/results"

. 
. /*
> local depvarscps "empl unem labfor married hourslw hourslw_pos uhours livewithprnt chld_pr educ_occup lives_spouse_oth" 
> local depvarsmar "earn_r_pos earn_r_pos_tc log_earn_r_pos log_earn_r_pos_tc inc_r_pos inc_r_pos_tc log_inc_r_pos log_inc_r_pos_tc 
> wkswork wkswork_pos"
> local depvarsorg "paidhre rw rw_l rw_nber uhourse wage_occup log_wk_ern"
> */
. local depvarscps "empl"

. local depvarsmar "log_pearnval_tc_r"

. local depvarsorg "rw_l"

. 
. if `doasproject'==1 {
.         project, uses("`prepdata'/combinecollapse_yca2ss.dta")
project GRscar_erratum > do-file uses: "/scratch/public/jr_ra/GRscarring2024/erratum/scratch/combinecollapse_yca2ss.dta" filesig(942
> 28854:312199772)
. }

. 
. cap program drop fvreg

. program define fvreg
  1.  // A program to run an OLS regression, which may include factor variables and/or
.  //   factor/continuous interactions, and make a data set of the results
.   syntax varlist (min=2 numeric fv) [if] [in] [aw pw fw], ///
>             [outfile(string) model(string) preserve noisily quietly eststo(name) ///
>              constraints(string) *]
  2.   // Default is to list the regression output but run the rest quietly
.   if "`noisily'"=="" local qui "qui"
  3.   
.   // Run the regression
.   if `"`constraints'"'==`""' {
  4.     di `"Model `model': `quietly' reg `varlist' `if' `in' [`weight'`exp'], `options'"'
  5.     `quietly' reg `varlist' `if' `in' [`weight'`exp'], `options'
  6.   }
  7.   else {
  8.     di `"Model `model': `quietly' cnsreg `varlist' `if' `in' [`weight'`exp'], constraints(`constraints') `options'"'
  9.     `quietly' cnsreg `varlist' `if' `in' [`weight'`exp'], constraints(`constraints') `options' 
 10.   }
 11.   if "`preserve'"=="preserve" preserve
 12.   
.   `qui' {
 13.   tempname ests
 14.   estimates store `ests'
 15.   if "`eststo'"~="" estimates store `eststo'
 16.   
.   // Make a data set of the coefficients
.     //Pull off the coefficients
.      local depvar "`e(depvar)'"
 17.      tempname b variance se
 18.      matrix `b'=e(b)
 19.      matrix `variance'=vecdiag(e(V))
 20.      matrix `se'=`variance'
 21.      local nr=colsof(`se')
 22.      forvalues i=1/`nr' {
 23.        matrix `se'[1,`i']=sqrt(`se'[1,`i'])
 24.      }
 25.      matrix `b'=(`b' \ `se')'
 26.      matrix colnames `b'=b se
 27.     //Save the coefficients
.      drop _all
 28.      set obs `nr'
 29.      svmat `b', names(col)   
 30.     //Save the independent variable names
.      gen ivartxt=""
 31.      tempname oneb
 32.      forvalues i=1/`nr' {
 33.        matrix `oneb'=`b'[`i', 1..2]
 34.        local ivarname : rowfullnames `oneb'
 35.        replace ivartxt="`ivarname'" in `i'
 36.      }
 37.    //Parse the coefficient names
.     gen ivartype=""
 38.     replace ivartype="Interaction" if strpos(ivartxt, "#")>0          // Interactions
 39.     replace ivartype="FV" if strpos(ivartxt, ".")>0 & ivartype==""    // Factor variable
 40.     replace ivartype="Continuous" if ivartype==""  
 41.     //Continuous variables are very easy to clean
.      gen cvname=subinstr(ivartxt, "c.", "", .) if ivartype=="Continuous"
 42.     //Clean interactions. Interactions are continuous-continuous, and only two-level.
.      gen v1=substr(ivartxt, 1, strpos(ivartxt, "#")-1) if ivartype=="Interaction"
 43.      gen v2=substr(ivartxt, strpos(ivartxt, "#")+1, .) if ivartype=="Interaction"
 44.      count if ivartype=="Interaction" & ///
>               (substr(v1,1,2)!="c." & substr(v1,1,3)!="co.") & ///
>               (substr(v2,1,2)!="c." & substr(v2,1,3)!="co.")
 45.      if r(N)>0 {
 46.        di "Error: Interactions must be continuous-continuous"
 47.        err
 48.      }              
 49.      //gen cvarnum=(substr(v1,1,2)=="c." | substr(v1,1,3)=="co.")
.      //replace cvarnum=cvarnum+2*(substr(v2,1,2)=="c." | substr(v2,1,3)=="co.")
.      //su cvarnum if ivartype=="Interaction", meanonly
.      //if r(min)==0 {
.      //  di "Error: Can't specify fv#fv interactions"
.      //  err
.      //}  
.      //if r(max)==3 {
.      //  di "Error: Can't specify continuous-continuous interactions."
.      //  err
.      //}
.      // All interactions take the form of c.expgpn#c.ur, where n=0,2,4,6,8,10 and ur is one
.      // of the unemployment rate variables (ur_st, ur0, dur, dur0)
.      replace cvname=subinstr(subinstr(v1, "c.", "", .), "co.", "",.)  if ivartype=="Interaction"
 50.      replace v2=subinstr(subinstr(v2, "c.", "", .), "co.", "",.)  if ivartype=="Interaction" 
 51.      assert inlist(v2, "expgp0","expgp2","expgp4","expgp6","expgp8","expgp10") if ivartype=="Interaction"
 52.      gen fvname="expgp" if ivartype=="Interaction"
 53.      gen fvval=real(substr(v2,6,.)) if ivartype=="Interaction"
 54.      drop v1 v2 
 55.     //Clean factor variables
.      gen fvtxt=ivartxt if ivartype=="FV"   
 56.      replace fvname=substr(fvtxt, strpos(fvtxt, ".")+1, .) if fvtxt~=""
 57.      gen fvval0=substr(fvtxt, 1, strpos(fvtxt, ".")-1) if fvtxt~=""
 58.      gen normalized=(strpos(fvval0, "b")>0 | strpos(fvval0, "o")>0) if fvtxt~=""
 59.      replace fvval=real(subinstr(subinstr(fvval0,"b", "", .),"o", "", .)) if fvtxt~="" 
 60.      drop fvval0 fvtxt 
 61.      replace ivartype="Intercept" if ivartype=="Continuous" & cvname=="_cons"
 62. 
.      gen depvar="`depvar'"
 63.      order depvar ivartype cvname fvname fvval b se normalized
 64.      if "`model"~="" {
 65.        gen model="`model'"
 66.        order model, first
 67.      }  
 68.    if "`outfile'"~="" save `outfile' 
 69.    if "`preserve'"=="preserve" {
 70.      restore
 71.      estimates restore `ests'
 72.    }
 73.    } // End of `qui' loop
 74.    estimates drop `ests'
 75. end

. 
. // Program to estimate the contrast between the 2005/6 and 2010/11 cohorts
. // (as measured by the age when 22). Applies only to the m#b models, where # is 0,1,2,3,4
. cap program drop estdiff

. program define estdiff, rclass
  1.   matrix b=e(b)
  2.   matrix V=e(V)
  3.   local ncols=colsof(b)
  4.   matrix Q=J(1,`ncols',0)
  5.   matrix Q[1,colnumb(b,"1983.entrycohort")]=-0.5
  6.   matrix Q[1,colnumb(b,"1984.entrycohort")]=-0.5
  7.   matrix Q[1,colnumb(b,"1988.entrycohort")]=0.5
  8.   matrix Q[1,colnumb(b,"1989.entrycohort")]=0.5
  9.   matrix Qb=Q*(b')
 10.   matrix QVQ=Q*V*(Q')
 11.   local b_`m'_`v'=el(Qb,1,1)
 12.   local se_`m'_`v'=sqrt(el(QVQ,1,1))
 13. end  

. 
. // Start of data manipulation
. 
.   use `prepdata'/combinecollapse_yca2ss, clear

.   cap drop _*

.   keep if age<=40 
(338,411 observations deleted)

.   keep if (educ2==1 & age>=22) | (educ2==0 & age>=18)
(22,742 observations deleted)

.   keep if marchwgt<. | orgwgt<. | bigcpswgt<.
(0 observations deleted)

.   // Drop last year data, which is not yet complete
.   drop if year>2019
(0 observations deleted)

.   // Drop the cohorts just entering the sample in 2018, for whom UR0 is missing.
.   // edit, 9/2/19: Dont need this now that we have UR for 2018
. *drop if year==2018 & ((educ2==0 & age==18) | (educ2==1 & age==22))
.   isid birthcohort year fipsst educ2 sex

.   gen entrycohort=birthcohort+22 if educ2==1
(98,529 missing values generated)

.   replace entrycohort=birthcohort+18 if educ2==0
(98,529 real changes made)

.   label var birthcohort "Year of Birth"

.   label var entrycohort "Year of entry on the labor market, depending on level of education"

.   gen ur0=ur0_22 if educ2==1
(104,068 missing values generated)

.   replace ur0=ur0_18 if educ2==0
(87,821 real changes made)

.   gen ur0_nat=ur0_nat_22 if educ2==1
(104,068 missing values generated)

.   replace ur0_nat=ur0_nat_18 if educ2==0
(87,821 real changes made)

.   // Make de-meaned state unemployment rates.
.   gen dur=ur_st-ur_nat

.   gen dur0=ur0-ur0_nat
(16,247 missing values generated)

.     
.   // Subsample that is age 30+ when GR hit for educated, 26 otherwise 
.   gen estsamp=(birthcohort<=1978 & ur0<.) if educ2==1
(98,529 missing values generated)

.   replace estsamp=(birthcohort<=1982 & ur0<.) if educ2==0
(98,529 real changes made)

.   assert estsamp==(birthcohort>=1948 & birthcohort<=1978) if educ2==1 

.   assert estsamp==0 if educ2==1 & (birthcohort<1948 | birthcohort>1978)

.   assert estsamp==(birthcohort>=1952 & birthcohort<=1982) if educ2==0

.   assert estsamp==0 if educ2==0 & (birthcohort<1952 | birthcohort>1982)

.   gen estsampb=(ur0<.)

.   assert estsampb==(birthcohort>=1948 & birthcohort<=1997) if educ2==1 

.   assert estsampb==(birthcohort>=1952 & birthcohort<=2001) if educ2==0 

.   gen ageb=age-40

.   gen exper=age-18-4*educ2

.   recode exper (0/1=0) (2/3=2) (4/5=4) (6/7=6) (8/9=8) (10/max=10), gen(expgp)
(128,438 differences between exper and expgp)

.   gen expgp0=(expgp==0)

.   gen expgp2=(expgp==2)

.   gen expgp4=(expgp==4)

.   gen expgp6=(expgp==6)

.   gen expgp8=(expgp==8)

.   gen expgp10=(expgp==10)

.   gen byte diffsamp=inlist(birthcohort, 1983, 1984, 1988, 1989) * (age<=27) if educ2==1
(98,529 missing values generated)

.   replace diffsamp=inlist(birthcohort, 1987, 1988, 1992, 1993)*(age<=27) if educ2==0
(98,529 real changes made)

.   gen byte postGR=inlist(birthcohort, 1988, 1989) if diffsamp==1 & educ2==1
(177,369 missing values generated)

.   replace postGR=inlist(birthcohort, 1992, 1993) if diffsamp==1 & educ2==0
(3,978 real changes made)

.   // create inverse mills ratios
.   gen imr_yc=normalden(invnormal(edfr_yc))/edfr_yc if educ2==1
(100,375 missing values generated)

.   replace imr_yc=normalden(invnormal(1-edfr_yc))/(1-edfr_yc) if educ2==0
(95,778 real changes made)

.   
.   gen imr_ycs=normalden(invnormal(edfr_ycs))/edfr_ycs if educ2==1
(100,375 missing values generated)

.   replace imr_ycs=normalden(invnormal(1-edfr_ycs))/(1-edfr_ycs) if educ2==0
(88,096 real changes made)

. 
.   // Subset the sample to balanced panel
.   keep if age<=27
(111,308 observations deleted)

.   keep if entrycohort<=2014
(3,059 observations deleted)

.   count if year==2019 & entrycohort==2014 & age==27
  102

.   assert r(N)>0

. 
.  //Fit the age-time-cohort regressions
.  foreach v of varlist `depvarscps' `depvarsmar' `depvarsorg' {
  2.    local dvlist "`dvlist' `v'"
  3.    foreach e in 0 1 {
  4.     // Assign weights to variables
.      local wgt=""
  5.      foreach w of varlist `depvarscps' {
  6.        if "`v'"=="`w'" local wgt "bigcpswgt"
  7.      }
  8.      foreach w of varlist `depvarsmar' {
  9.        if "`v'"=="`w'" local wgt "marchwgt"
 10.      }
 11.      foreach w of varlist `depvarsorg' {
 12.        if "`v'"=="`w'" local wgt "orgwgt"
 13.      }
 14.      if "`wgt'"=="" {
 15.        di "Variable `v' does not have an associated weight. Failing."
 16.        err
 17.      }
 18.     // Models:
.      // A: Just cohort, age, and state effects -- no time effects
.      // B: Age-time-cohort + state FEs
.      // C: A-T-C + UR(t)*Agroups
.      // D: A-T-C + UR(0)*Agroups
.      // E: A-T-C + UR(t)*Agroups + UR(0)*Agroups
.      //.   SKIP   F : Same as D but with interactions between age and both the state and national unemployment rates
.      // b versions of each that include all cohorts
.      //.   SKIP   Zb: Just contrast between 2005/6 and 2010/11 entrycohort (measured by age when 22).
.      //.   SKIP  a models: Main estimation sample, excluding recent entrycohort
.      //b models: Full sample
.      //c models: Full sample, exclude <24.
.      //.   SKIP  d models: Main estimation sample, use national UR
.      //Make estout tables .
.      di "Starting models for variable `v', with weight `wgt', for education group `e'"
 19.       tempfile mA`e'`s'b_`v' mB`e'`s'b_`v' mC`e'`s'b_`v' mD`e'`s'b_`v' mE`e'`s'b_`v' mF`e'`s'b_`v' ///
>                mA`e'`s'c_`v' mB`e'`s'c_`v' mC`e'`s'c_`v' mD`e'`s'c_`v' mE`e'`s'c_`v' mF`e'`s'c_`v' 
 20.      
.      //   Bb: Age-time-cohort and state FEs, including most recent data
.       fvreg `v' ib10.exper ib2007.year ib1984o2000.entrycohort ib6.fipsst imr_ycs  ///
>           [aw=`wgt'] if estsampb==1  & educ2==`e', cluster(fipsst) ///
>           model("mB`e'b") outfile(`mB`e'b_`v'') preserve
 21.       predict double mB`e'b_`v'_xb, xb
 22.       gen mB`e'b_`v'_samp=e(sample)    
 23.       eststo mod_`v'_mB`e'b, noesample title(`v'_mB`e'b)
 24. 
.      //   Eb: A-T-C + UR(t)*Agroups + UR(0)*Agroups, including most recent data
.       fvreg `v' ib10.exper ib2007.year ib1984o2000.entrycohort ib6.fipsst imr_ycs  ///
>           c.ur_st#c.expgp0 c.ur_st#c.expgp2 c.ur_st#c.expgp4 c.ur_st#c.expgp6 c.ur_st#c.expgp8 c.dur ///
>           c.ur0#c.expgp0 c.ur0#c.expgp2 c.ur0#c.expgp4 c.ur0#c.expgp6 c.ur0#c.expgp8 c.dur0 ///
>           [aw=`wgt'] if estsampb==1  & educ2==`e', cluster(fipsst) ///
>           model("mE`e'b") outfile(`mE`e'b_`v'') preserve
 25. 
.    }
 26.  } 
Starting models for variable empl, with weight bigcpswgt, for education group 0
Model mB0b:  reg empl ib10.exper ib2007.year ib1984o2000.entrycohort ib6.fipsst imr_ycs if estsampb==1 & educ2==0  [aweight= bigcpsw
> gt], cluster(fipsst)
(sum of wgt is 13,347,575,942.39)
note: 9.exper omitted because of collinearity.
note: 10b.exper identifies no observations in the sample.

Linear regression                               Number of obs     =     32,760
                                                F(49, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.5048
                                                Root MSE          =     .09285

                                (Std. err. adjusted for 51 clusters in fipsst)
------------------------------------------------------------------------------
             |               Robust
        empl | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       exper |
          0  |  -.2889629   .0083089   -34.78   0.000    -.3056518    -.272274
          1  |  -.1912679   .0092372   -20.71   0.000    -.2098213   -.1727145
          2  |  -.1323441   .0082202   -16.10   0.000    -.1488548   -.1158333
          3  |  -.0964883   .0064866   -14.88   0.000    -.1095169   -.0834596
          4  |  -.0622445   .0040943   -15.20   0.000    -.0704681   -.0540208
          5  |   -.033905   .0022854   -14.84   0.000    -.0384954   -.0293146
          6  |   -.018818    .001965    -9.58   0.000    -.0227649   -.0148711
          7  |   -.011753   .0015365    -7.65   0.000    -.0148391   -.0086669
          8  |  -.0032088    .001463    -2.19   0.033    -.0061474   -.0002702
          9  |          0  (omitted)
         10  |          0  (empty)
             |
        year |
       1979  |   .0922543   .0098997     9.32   0.000       .07237    .1121385
       1980  |   .0609395   .0100784     6.05   0.000     .0406964    .0811826
       1981  |   .0472195   .0102765     4.59   0.000     .0265785    .0678605
       1982  |   .0160991   .0100183     1.61   0.114    -.0040232    .0362214
       1983  |    .010197    .009092     1.12   0.267    -.0080648    .0284589
       1984  |   .0308051   .0093585     3.29   0.002      .012008    .0496023
       1985  |   .0317896   .0071271     4.46   0.000     .0174745    .0461048
       1986  |   .0309167    .007168     4.31   0.000     .0165193    .0453142
       1987  |   .0353305   .0068923     5.13   0.000     .0214869     .049174
       1988  |   .0355909   .0062907     5.66   0.000     .0229556    .0482262
       1989  |   .0325832   .0060473     5.39   0.000     .0204368    .0447295
       1990  |   .0189364   .0044921     4.22   0.000     .0099138     .027959
       1991  |  -.0068386   .0044874    -1.52   0.134    -.0158519    .0021747
       1992  |  -.0121824   .0066379    -1.84   0.072    -.0255149    .0011502
       1993  |  -.0103768   .0080948    -1.28   0.206    -.0266357    .0058821
       1994  |  -.0057911   .0082945    -0.70   0.488     -.022451    .0108689
       1995  |   .0029879    .008501     0.35   0.727    -.0140868    .0200626
       1996  |   .0032476    .007497     0.43   0.667    -.0118106    .0183057
       1997  |   .0143232   .0067311     2.13   0.038     .0008035     .027843
       1998  |   .0230032   .0072056     3.19   0.002     .0085303    .0374761
       1999  |   .0279307   .0067705     4.13   0.000     .0143317    .0415298
       2000  |   .0314545   .0057864     5.44   0.000     .0198321    .0430768
       2001  |   .0174853   .0060017     2.91   0.005     .0054304    .0295401
       2002  |  -.0011566   .0053579    -0.22   0.830    -.0119183    .0096051
       2003  |  -.0155034   .0059885    -2.59   0.013    -.0275316   -.0034752
       2004  |  -.0159063   .0054644    -2.91   0.005    -.0268819   -.0049307
       2005  |  -.0100669   .0040034    -2.51   0.015     -.018108   -.0020258
       2006  |  -.0007345   .0032421    -0.23   0.822    -.0072464    .0057774
       2008  |  -.0147147   .0045937    -3.20   0.002    -.0239414    -.005488
       2009  |  -.0601745   .0062794    -9.58   0.000    -.0727871   -.0475619
       2010  |  -.0708729   .0076436    -9.27   0.000    -.0862255   -.0555202
       2011  |  -.0621716   .0065821    -9.45   0.000    -.0753922   -.0489511
       2012  |  -.0458698   .0060992    -7.52   0.000    -.0581204   -.0336191
       2013  |  -.0350419   .0062676    -5.59   0.000    -.0476308    -.022453
       2014  |  -.0162632   .0078656    -2.07   0.044    -.0320617   -.0004647
       2015  |   .0058976   .0073025     0.81   0.423    -.0087698    .0205651
       2016  |    .024974   .0103901     2.40   0.020      .004105    .0458431
       2017  |   .0472709   .0099034     4.77   0.000     .0273794    .0671624
       2018  |   .0612068   .0123027     4.98   0.000     .0364961    .0859174
       2019  |   .0788765   .0136566     5.78   0.000     .0514464    .1063067
             |
 entrycohort |
       1970  |  -.1119788   .0090643   -12.35   0.000     -.130185   -.0937727
       1971  |  -.1044151   .0082743   -12.62   0.000    -.1210345   -.0877958
       1972  |   -.095742   .0076811   -12.46   0.000      -.11117    -.080314
       1973  |  -.0880768   .0063608   -13.85   0.000    -.1008528   -.0753007
       1974  |  -.0735172   .0068828   -10.68   0.000    -.0873418   -.0596927
       1975  |  -.0662233   .0062087   -10.67   0.000    -.0786937   -.0537528
       1976  |  -.0590036   .0052767   -11.18   0.000    -.0696023    -.048405
       1977  |  -.0482437   .0044366   -10.87   0.000    -.0571549   -.0393324
       1978  |  -.0390075   .0040773    -9.57   0.000    -.0471969    -.030818
       1979  |  -.0312977   .0040598    -7.71   0.000     -.039452   -.0231435
       1980  |  -.0208852   .0031901    -6.55   0.000    -.0272928   -.0144777
       1981  |  -.0133989   .0030593    -4.38   0.000    -.0195437   -.0072541
       1982  |  -.0076371   .0032937    -2.32   0.025    -.0142527   -.0010215
       1983  |  -.0038816   .0020369    -1.91   0.062    -.0079729    .0002097
       1985  |   .0026071   .0026906     0.97   0.337    -.0027971    .0080114
       1986  |   .0054592   .0031227     1.75   0.087    -.0008129    .0117313
       1987  |   .0073744   .0030196     2.44   0.018     .0013093    .0134395
       1988  |   .0100137   .0026439     3.79   0.000     .0047033    .0153242
       1989  |    .012399   .0038359     3.23   0.002     .0046943    .0201038
       1990  |   .0075375   .0047067     1.60   0.116    -.0019162    .0169913
       1991  |   .0090718   .0026529     3.42   0.001     .0037432    .0144004
       1992  |   .0062443   .0038873     1.61   0.114    -.0015635    .0140522
       1993  |   .0023053   .0030356     0.76   0.451    -.0037919    .0084025
       1994  |   .0043846   .0031127     1.41   0.165    -.0018676    .0106367
       1995  |   .0131467   .0042386     3.10   0.003     .0046331    .0216602
       1996  |   .0065717   .0036877     1.78   0.081    -.0008352    .0139786
       1997  |   .0059205   .0039125     1.51   0.137     -.001938    .0137789
       1998  |   .0069237   .0035337     1.96   0.056     -.000174    .0140214
       1999  |   .0062589   .0040596     1.54   0.129    -.0018951    .0144129
       2000  |          0  (omitted)
       2001  |   .0067745   .0035039     1.93   0.059    -.0002632    .0138123
       2002  |  -.0043433   .0045305    -0.96   0.342     -.013443    .0047564
       2003  |  -.0055566    .004629    -1.20   0.236    -.0148543    .0037411
       2004  |  -.0106698   .0052367    -2.04   0.047    -.0211881   -.0001516
       2005  |  -.0139719   .0058783    -2.38   0.021    -.0257788    -.002165
       2006  |  -.0229376   .0063014    -3.64   0.001    -.0355944   -.0102809
       2007  |  -.0301116   .0075409    -3.99   0.000    -.0452579   -.0149653
       2008  |  -.0395129   .0084274    -4.69   0.000    -.0564399    -.022586
       2009  |  -.0455464   .0110053    -4.14   0.000    -.0676512   -.0234416
       2010  |  -.0603902   .0127588    -4.73   0.000    -.0860169   -.0347635
       2011  |   -.069813   .0140671    -4.96   0.000    -.0980677   -.0415583
       2012  |   -.074325   .0160864    -4.62   0.000    -.1066354   -.0420145
       2013  |  -.0861566    .018466    -4.67   0.000    -.1232467   -.0490665
       2014  |  -.0996867   .0190185    -5.24   0.000    -.1378864    -.061487
             |
      fipsst |
         AL  |  -.0148697   .0010143   -14.66   0.000     -.016907   -.0128324
         AK  |  -.0017374   .0007832    -2.22   0.031    -.0033104   -.0001644
         AZ  |   .0380341   .0004707    80.81   0.000     .0370888    .0389795
         AR  |   .0239827   .0009047    26.51   0.000     .0221655    .0257999
         CO  |   .0716634   .0009031    79.36   0.000     .0698495    .0734772
         CT  |   .0518965   .0012532    41.41   0.000     .0493794    .0544135
         DE  |   .0636585   .0009958    63.93   0.000     .0616584    .0656586
         DC  |  -.0913339   .0022488   -40.61   0.000    -.0958508   -.0868169
         FL  |   .0422811   .0002107   200.65   0.000     .0418579    .0427044
         GA  |    .010135    .000507    19.99   0.000     .0091166    .0111533
         HI  |   .0257018   .0007052    36.45   0.000     .0242854    .0271182
         ID  |    .063291   .0007455    84.90   0.000     .0617936    .0647884
         IL  |   .0122052   .0009487    12.87   0.000     .0102997    .0141107
         IN  |   .0398017   .0009483    41.97   0.000      .037897    .0417064
         IA  |   .1047222   .0011242    93.16   0.000     .1024642    .1069801
         KS  |   .0856338    .001064    80.48   0.000     .0834967    .0877709
         KY  |   .0027395   .0009853     2.78   0.008     .0007605    .0047184
         LA  |  -.0288684   .0009499   -30.39   0.000    -.0307764   -.0269604
         ME  |   .0561737   .0008467    66.34   0.000      .054473    .0578745
         MD  |   .0472014   .0010003    47.19   0.000     .0451923    .0492106
         MA  |   .0375508   .0013447    27.93   0.000       .03485    .0402517
         MI  |   .0167829   .0008429    19.91   0.000     .0150899     .018476
         MN  |   .1082606   .0010504   103.07   0.000     .1061509    .1103704
         MS  |   -.041038   .0008316   -49.35   0.000    -.0427083   -.0393677
         MO  |   .0625107   .0010551    59.25   0.000     .0603915    .0646299
         MT  |   .0439792   .0010345    42.51   0.000     .0419014     .046057
         NE  |   .1258102   .0009153   137.46   0.000     .1239719    .1276486
         NV  |   .0706575   .0009603    73.58   0.000     .0687286    .0725863
         NH  |   .1081996   .0009433   114.71   0.000      .106305    .1100942
         NJ  |   .0118939   .0008829    13.47   0.000     .0101206    .0136672
         NM  |  -.0143486   .0006079   -23.60   0.000    -.0155696   -.0131275
         NY  |  -.0540931   .0008468   -63.88   0.000    -.0557939   -.0523923
         NC  |    .033728   .0004804    70.21   0.000     .0327632    .0346929
         ND  |   .1068374   .0012211    87.49   0.000     .1043848      .10929
         OH  |   .0377254   .0008379    45.02   0.000     .0360424    .0394084
         OK  |   .0259825   .0009011    28.83   0.000     .0241726    .0277924
         OR  |   .0232877   .0008419    27.66   0.000     .0215966    .0249787
         PA  |   .0208574   .0007965    26.19   0.000     .0192575    .0224572
         RI  |   .0592283   .0013166    44.99   0.000     .0565838    .0618728
         SC  |   .0122848   .0008241    14.91   0.000     .0106296      .01394
         SD  |   .1001311   .0010539    95.01   0.000     .0980144    .1022479
         TN  |   .0154187   .0007778    19.82   0.000     .0138564     .016981
         TX  |   .0301824   .0002431   124.16   0.000     .0296941    .0306707
         UT  |   .0960057   .0005543   173.20   0.000     .0948923    .0971191
         VT  |   .0708687    .001343    52.77   0.000     .0681713    .0735662
         VA  |   .0555137   .0009207    60.29   0.000     .0536644     .057363
         WA  |   .0275711   .0006775    40.70   0.000     .0262103    .0289319
         WV  |  -.0710482   .0011915   -59.63   0.000    -.0734415   -.0686549
         WI  |   .1012396   .0009031   112.11   0.000     .0994258    .1030534
         WY  |   .0616921   .0012365    49.89   0.000     .0592084    .0641757
             |
     imr_ycs |  -.0008151   .0032125    -0.25   0.801    -.0072675    .0056374
       _cons |    .723601   .0051434   140.69   0.000     .7132702    .7339318
------------------------------------------------------------------------------
(9,141 missing values generated)
Model mE0b:  reg empl ib10.exper ib2007.year ib1984o2000.entrycohort ib6.fipsst imr_ycs c.ur_st#c.expgp0 c.ur_st#c.expgp2 c.ur_st#c.
> expgp4 c.ur_st#c.expgp6 c.ur_st#c.expgp8 dur c.ur0#c.expgp0 c.ur0#c.expgp2 c.ur0#c.expgp4 c.ur0#c.expgp6 c.ur0#c.expgp8 dur0 if es
> tsampb==1 & educ2==0  [aweight= bigcpswgt], cluster(fipsst)
(sum of wgt is 13,347,575,942.39)
note: 9.exper omitted because of collinearity.
note: 10b.exper identifies no observations in the sample.
note: c.ur_st#c.expgp8 omitted because of collinearity.
note: c.ur0#c.expgp8 omitted because of collinearity.

Linear regression                               Number of obs     =     32,760
                                                F(49, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.5197
                                                Root MSE          =     .09146

                                    (Std. err. adjusted for 51 clusters in fipsst)
----------------------------------------------------------------------------------
                 |               Robust
            empl | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-----------------+----------------------------------------------------------------
           exper |
              0  |  -.2720286    .019161   -14.20   0.000    -.3105146   -.2335426
              1  |  -.1742271   .0207661    -8.39   0.000    -.2159371   -.1325171
              2  |  -.1308865   .0157333    -8.32   0.000    -.1624879   -.0992852
              3  |  -.0934455   .0146981    -6.36   0.000    -.1229675   -.0639235
              4  |  -.0469754   .0091995    -5.11   0.000    -.0654532   -.0284976
              5  |  -.0177753   .0088421    -2.01   0.050    -.0355352   -.0000154
              6  |  -.0020241   .0047053    -0.43   0.669    -.0114749    .0074267
              7  |   .0052861   .0050289     1.05   0.298    -.0048147     .015387
              8  |  -.0032342    .001444    -2.24   0.030    -.0061345   -.0003338
              9  |          0  (omitted)
             10  |          0  (empty)
                 |
            year |
           1979  |   .0909259   .0119412     7.61   0.000     .0669412    .1149105
           1980  |   .0624231   .0114537     5.45   0.000     .0394177    .0854286
           1981  |   .0492432   .0110887     4.44   0.000     .0269708    .0715156
           1982  |   .0218327   .0110916     1.97   0.055    -.0004454    .0441107
           1983  |   .0181329   .0098681     1.84   0.072    -.0016878    .0379536
           1984  |   .0329896   .0092379     3.57   0.001     .0144347    .0515445
           1985  |   .0335475   .0077135     4.35   0.000     .0180545    .0490405
           1986  |   .0337338   .0074061     4.55   0.000     .0188582    .0486094
           1987  |   .0353642   .0068237     5.18   0.000     .0216583      .04907
           1988  |   .0355809   .0064741     5.50   0.000     .0225773    .0485845
           1989  |   .0323237   .0069353     4.66   0.000     .0183937    .0462538
           1990  |    .020311   .0058074     3.50   0.001     .0086465    .0319755
           1991  |  -.0014712   .0055821    -0.26   0.793    -.0126832    .0097409
           1992  |  -.0059721   .0068662    -0.87   0.389    -.0197633     .007819
           1993  |  -.0043928   .0068371    -0.64   0.523    -.0181255    .0093398
           1994  |  -.0016618    .006495    -0.26   0.799    -.0147074    .0113839
           1995  |   .0058802   .0071434     0.82   0.414    -.0084678    .0202282
           1996  |   .0060892   .0066442     0.92   0.364     -.007256    .0194344
           1997  |   .0166773   .0070279     2.37   0.022     .0025613    .0307932
           1998  |   .0233482   .0076036     3.07   0.003     .0080759    .0386205
           1999  |   .0280719   .0076594     3.67   0.001     .0126875    .0434562
           2000  |    .030691   .0062889     4.88   0.000     .0180594    .0433227
           2001  |   .0183007   .0069344     2.64   0.011     .0043726    .0322288
           2002  |   .0024277    .005768     0.42   0.676    -.0091578    .0140131
           2003  |  -.0117245   .0064912    -1.81   0.077    -.0247625    .0013135
           2004  |  -.0134396   .0056497    -2.38   0.021    -.0247874   -.0020918
           2005  |  -.0090616   .0045668    -1.98   0.053    -.0182343    .0001112
           2006  |  -.0007058   .0043322    -0.16   0.871    -.0094072    .0079957
           2008  |  -.0124647   .0039412    -3.16   0.003    -.0203809   -.0045486
           2009  |  -.0507711   .0064473    -7.87   0.000    -.0637209   -.0378212
           2010  |  -.0612569   .0069376    -8.83   0.000    -.0751916   -.0473223
           2011  |  -.0541382   .0070905    -7.64   0.000    -.0683798   -.0398965
           2012  |   -.041758   .0068308    -6.11   0.000     -.055478   -.0280379
           2013  |  -.0337928    .006735    -5.02   0.000    -.0473204   -.0202651
           2014  |  -.0181698   .0072012    -2.52   0.015    -.0326338   -.0037059
           2015  |   .0019434   .0065935     0.29   0.769       -.0113    .0151868
           2016  |   .0207281   .0091872     2.26   0.028     .0022751    .0391811
           2017  |   .0415169    .008752     4.74   0.000      .023938    .0590957
           2018  |   .0550884   .0108039     5.10   0.000     .0333881    .0767886
           2019  |   .0726471   .0119695     6.07   0.000     .0486056    .0966886
                 |
     entrycohort |
           1970  |     -.1077   .0099793   -10.79   0.000    -.1277441    -.087656
           1971  |  -.1011061   .0094744   -10.67   0.000     -.120136   -.0820763
           1972  |  -.0933226   .0076473   -12.20   0.000    -.1086826   -.0779626
           1973  |  -.0861438    .008138   -10.59   0.000    -.1024894   -.0697983
           1974  |  -.0716916   .0081373    -8.81   0.000    -.0880358   -.0553474
           1975  |  -.0627805   .0071031    -8.84   0.000    -.0770475   -.0485134
           1976  |  -.0541809   .0058328    -9.29   0.000    -.0658963   -.0424655
           1977  |  -.0434483   .0053024    -8.19   0.000    -.0540984   -.0327982
           1978  |  -.0344133   .0053805    -6.40   0.000    -.0452203   -.0236062
           1979  |  -.0271345      .0056    -4.85   0.000    -.0383825   -.0158865
           1980  |  -.0180665   .0035829    -5.04   0.000    -.0252629     -.01087
           1981  |  -.0105088   .0028772    -3.65   0.001    -.0162879   -.0047298
           1982  |  -.0062061   .0030489    -2.04   0.047      -.01233   -.0000822
           1983  |  -.0023213   .0019786    -1.17   0.246    -.0062954    .0016529
           1985  |   .0030248   .0026533     1.14   0.260    -.0023044     .008354
           1986  |   .0055734   .0029559     1.89   0.065    -.0003636    .0115104
           1987  |   .0071159   .0028465     2.50   0.016     .0013986    .0128333
           1988  |   .0100957   .0027066     3.73   0.000     .0046593    .0155322
           1989  |    .013709   .0037767     3.63   0.001     .0061233    .0212947
           1990  |   .0088397   .0050974     1.73   0.089    -.0013986    .0190781
           1991  |    .009866   .0035418     2.79   0.008     .0027522    .0169799
           1992  |   .0067559   .0043345     1.56   0.125    -.0019503     .015462
           1993  |   .0031179   .0046827     0.67   0.509    -.0062875    .0125233
           1994  |   .0048425   .0039901     1.21   0.231    -.0031719    .0128568
           1995  |   .0137511    .004965     2.77   0.008     .0037786    .0237236
           1996  |   .0079113   .0038038     2.08   0.043     .0002712    .0155514
           1997  |   .0076293     .00425     1.80   0.079    -.0009071    .0161658
           1998  |   .0084696   .0037024     2.29   0.026     .0010332    .0159061
           1999  |   .0074281    .004142     1.79   0.079    -.0008914    .0157476
           2000  |          0  (omitted)
           2001  |   .0069462   .0031649     2.19   0.033     .0005894    .0133031
           2002  |  -.0039476   .0041052    -0.96   0.341    -.0121931    .0042978
           2003  |   -.003975   .0050087    -0.79   0.431    -.0140352    .0060852
           2004  |  -.0081623   .0051594    -1.58   0.120    -.0185252    .0022006
           2005  |  -.0103096   .0061114    -1.69   0.098    -.0225848    .0019655
           2006  |  -.0184233   .0061941    -2.97   0.005    -.0308646   -.0059821
           2007  |  -.0247849   .0073377    -3.38   0.001    -.0395232   -.0100466
           2008  |  -.0333464   .0071614    -4.66   0.000    -.0477305   -.0189622
           2009  |  -.0387594   .0097794    -3.96   0.000    -.0584019    -.019117
           2010  |  -.0538182   .0113615    -4.74   0.000    -.0766383    -.030998
           2011  |  -.0629146   .0125422    -5.02   0.000    -.0881064   -.0377229
           2012  |  -.0683347   .0141867    -4.82   0.000    -.0968294   -.0398399
           2013  |  -.0806882   .0169002    -4.77   0.000    -.1146332   -.0467432
           2014  |  -.0942259    .017186    -5.48   0.000    -.1287449   -.0597069
                 |
          fipsst |
             AL  |  -.0141383   .0008987   -15.73   0.000    -.0159435   -.0123331
             AK  |   .0073769   .0009611     7.68   0.000     .0054465    .0093072
             AZ  |   .0199943    .001177    16.99   0.000     .0176302    .0223583
             AR  |   .0103554   .0011155     9.28   0.000     .0081149    .0125959
             CO  |   .0371138   .0018492    20.07   0.000     .0333995    .0408281
             CT  |   .0168739   .0018351     9.19   0.000     .0131879    .0205599
             DE  |   .0274335   .0018104    15.15   0.000     .0237972    .0310698
             DC  |    -.08543   .0024125   -35.41   0.000    -.0902756   -.0805844
             FL  |   .0211861   .0012177    17.40   0.000     .0187403    .0236318
             GA  |  -.0115364   .0011477   -10.05   0.000    -.0138416   -.0092312
             HI  |  -.0220692    .002441    -9.04   0.000     -.026972   -.0171663
             ID  |   .0385235   .0016387    23.51   0.000      .035232    .0418149
             IL  |   .0084844   .0007442    11.40   0.000     .0069897    .0099791
             IN  |   .0221179   .0012912    17.13   0.000     .0195245    .0247114
             IA  |   .0579702   .0024995    23.19   0.000     .0529499    .0629905
             KS  |   .0383596   .0025386    15.11   0.000     .0332607    .0434585
             KY  |  -.0038558   .0010114    -3.81   0.000    -.0058873   -.0018242
             LA  |  -.0259892   .0009417   -27.60   0.000    -.0278806   -.0240978
             ME  |   .0273654   .0016223    16.87   0.000      .024107    .0306238
             MD  |   .0102582   .0019288     5.32   0.000      .006384    .0141324
             MA  |   .0016965   .0020296     0.84   0.407      -.00238     .005773
             MI  |   .0325012   .0009809    33.13   0.000     .0305309    .0344715
             MN  |   .0651088   .0022593    28.82   0.000     .0605709    .0696467
             MS  |  -.0341434   .0009276   -36.81   0.000    -.0360064   -.0322803
             MO  |   .0392745    .001398    28.09   0.000     .0364664    .0420825
             MT  |   .0157845   .0016965     9.30   0.000     .0123771     .019192
             NE  |   .0584169   .0037052    15.77   0.000     .0509747    .0658591
             NV  |   .0620438   .0010018    61.93   0.000     .0600316    .0640559
             NH  |   .0528727   .0028764    18.38   0.000     .0470953      .05865
             NJ  |  -.0091358    .001229    -7.43   0.000    -.0116043   -.0066674
             NM  |  -.0263886   .0010319   -25.57   0.000    -.0284612   -.0243159
             NY  |  -.0702798   .0009843   -71.40   0.000    -.0722568   -.0683028
             NC  |   .0094181   .0013207     7.13   0.000     .0067653    .0120709
             ND  |   .0445357   .0033799    13.18   0.000      .037747    .0513245
             OH  |   .0295877   .0007926    37.33   0.000     .0279958    .0311796
             OK  |  -.0143264   .0024164    -5.93   0.000    -.0191798    -.009473
             OR  |   .0204014   .0009015    22.63   0.000     .0185906    .0222122
             PA  |   .0061374   .0009907     6.20   0.000     .0041475    .0081272
             RI  |   .0430611   .0012092    35.61   0.000     .0406323    .0454899
             SC  |  -.0008696   .0010704    -0.81   0.420    -.0030195    .0012804
             SD  |   .0353027   .0035666     9.90   0.000     .0281389    .0424665
             TN  |   .0009704   .0009769     0.99   0.325    -.0009917    .0029326
             TX  |   .0064131   .0014876     4.31   0.000     .0034252    .0094011
             UT  |   .0514644    .002576    19.98   0.000     .0462903    .0566385
             VT  |   .0215574   .0025508     8.45   0.000      .016434    .0266808
             VA  |   .0085679   .0024158     3.55   0.001     .0037156    .0134202
             WA  |   .0218401   .0007648    28.55   0.000     .0203039    .0233764
             WV  |  -.0484789   .0017176   -28.23   0.000    -.0519287   -.0450291
             WI  |   .0712572   .0017222    41.37   0.000      .067798    .0747164
             WY  |   .0183357   .0026527     6.91   0.000     .0130076    .0236637
                 |
         imr_ycs |   .0021145   .0034102     0.62   0.538    -.0047352    .0089642
                 |
c.ur_st#c.expgp0 |  -.0066863    .002241    -2.98   0.004    -.0111874   -.0021852
                 |
c.ur_st#c.expgp2 |  -.0016278   .0014722    -1.11   0.274    -.0045847    .0013292
                 |
c.ur_st#c.expgp4 |  -.0027561   .0011315    -2.44   0.018    -.0050287   -.0004835
                 |
c.ur_st#c.expgp6 |   -.002938    .000501    -5.86   0.000    -.0039443   -.0019317
                 |
c.ur_st#c.expgp8 |          0  (omitted)
                 |
             dur |   -.013823   .0012222   -11.31   0.000    -.0162778   -.0113682
                 |
  c.ur0#c.expgp0 |   .0030169   .0025805     1.17   0.248    -.0021661       .0082
                 |
  c.ur0#c.expgp2 |   .0005361   .0011291     0.47   0.637    -.0017318     .002804
                 |
  c.ur0#c.expgp4 |   .0000598   .0007626     0.08   0.938    -.0014719    .0015915
                 |
  c.ur0#c.expgp6 |   .0001957   .0005001     0.39   0.697    -.0008087    .0012001
                 |
  c.ur0#c.expgp8 |          0  (omitted)
                 |
            dur0 |   -.002912   .0008235    -3.54   0.001     -.004566   -.0012579
           _cons |   .7332965   .0049852   147.09   0.000     .7232834    .7433096
----------------------------------------------------------------------------------
Starting models for variable empl, with weight bigcpswgt, for education group 1
Model mB1b:  reg empl ib10.exper ib2007.year ib1984o2000.entrycohort ib6.fipsst imr_ycs if estsampb==1 & educ2==1  [aweight= bigcpsw
> gt], cluster(fipsst)
(sum of wgt is 2,555,460,036.489)
note: 5.exper omitted because of collinearity.
note: 10b.exper identifies no observations in the sample.

Linear regression                               Number of obs     =     23,514
                                                F(49, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.2594
                                                Root MSE          =     .08203

                                (Std. err. adjusted for 51 clusters in fipsst)
------------------------------------------------------------------------------
             |               Robust
        empl | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       exper |
          0  |  -.1211281   .0058083   -20.85   0.000    -.1327943   -.1094619
          1  |  -.0619013    .004755   -13.02   0.000     -.071452   -.0523507
          2  |  -.0357164   .0043566    -8.20   0.000     -.044467   -.0269658
          3  |  -.0215704   .0032867    -6.56   0.000     -.028172   -.0149688
          4  |  -.0068071   .0019157    -3.55   0.001    -.0106548   -.0029593
          5  |          0  (omitted)
         10  |          0  (empty)
             |
        year |
       1979  |   .0067156   .0150891     0.45   0.658    -.0235917    .0370229
       1980  |  -.0074078   .0142672    -0.52   0.606    -.0360642    .0212487
       1981  |  -.0090969   .0141331    -0.64   0.523    -.0374841    .0192904
       1982  |  -.0228237   .0123317    -1.85   0.070    -.0475927    .0019452
       1983  |  -.0241242   .0123983    -1.95   0.057    -.0490269    .0007785
       1984  |  -.0060574   .0111805    -0.54   0.590     -.028514    .0163992
       1985  |   .0061222   .0121407     0.50   0.616     -.018263    .0305075
       1986  |   .0074882   .0112435     0.67   0.508     -.015095    .0300714
       1987  |   .0087246   .0104069     0.84   0.406    -.0121784    .0296275
       1988  |   .0171873   .0092195     1.86   0.068    -.0013306    .0357051
       1989  |    .008655    .009726     0.89   0.378    -.0108802    .0281901
       1990  |   .0004731   .0087866     0.05   0.957    -.0171752    .0181215
       1991  |  -.0102295   .0090192    -1.13   0.262     -.028345     .007886
       1992  |  -.0038765   .0097297    -0.40   0.692    -.0234191    .0156662
       1993  |   .0058985   .0094628     0.62   0.536     -.013108    .0249051
       1994  |   .0054802   .0085069     0.64   0.522    -.0116064    .0225669
       1995  |   .0012902   .0095886     0.13   0.894     -.017969    .0205494
       1996  |   .0025225   .0087135     0.29   0.773    -.0149791    .0200242
       1997  |   .0127022   .0081072     1.57   0.123    -.0035816    .0289861
       1998  |   .0076336   .0096075     0.79   0.431    -.0116637    .0269309
       1999  |   .0014777   .0080892     0.18   0.856    -.0147699    .0177254
       2000  |   .0054447   .0080294     0.68   0.501    -.0106827    .0215721
       2001  |  -.0098044   .0088015    -1.11   0.271    -.0274827    .0078739
       2002  |  -.0170364   .0074645    -2.28   0.027    -.0320292   -.0020435
       2003  |  -.0251146    .006762    -3.71   0.001    -.0386965   -.0115326
       2004  |  -.0185909   .0086844    -2.14   0.037     -.036034   -.0011478
       2005  |  -.0161778   .0066603    -2.43   0.019    -.0295553   -.0028003
       2006  |  -.0106795   .0052324    -2.04   0.047    -.0211891   -.0001699
       2008  |  -.0194532   .0072607    -2.68   0.010    -.0340368   -.0048695
       2009  |  -.0374754   .0085684    -4.37   0.000    -.0546855   -.0202653
       2010  |  -.0356367   .0095069    -3.75   0.000    -.0547319   -.0165416
       2011  |  -.0325505   .0088193    -3.69   0.001    -.0502646   -.0148364
       2012  |  -.0214039   .0104736    -2.04   0.046    -.0424407    -.000367
       2013  |  -.0257632   .0111454    -2.31   0.025    -.0481493   -.0033771
       2014  |  -.0092573   .0130538    -0.71   0.482    -.0354766    .0169621
       2015  |  -.0075645   .0119979    -0.63   0.531    -.0316631    .0165341
       2016  |   .0053538   .0114235     0.47   0.641    -.0175909    .0282986
       2017  |    .007741   .0145239     0.53   0.596    -.0214311    .0369132
       2018  |   .0301131   .0171182     1.76   0.085    -.0042699    .0644961
       2019  |   .0207883    .017131     1.21   0.231    -.0136203     .055197
             |
 entrycohort |
       1974  |   -.035556   .0136956    -2.60   0.012    -.0630644   -.0080477
       1975  |  -.0143242   .0128525    -1.11   0.270    -.0401392    .0114908
       1976  |  -.0160861   .0128423    -1.25   0.216    -.0418806    .0097084
       1977  |  -.0038178   .0105405    -0.36   0.719    -.0249891    .0173535
       1978  |  -.0022386   .0103201    -0.22   0.829    -.0229673      .01849
       1979  |  -.0007478   .0080571    -0.09   0.926     -.016931    .0154353
       1980  |   .0009907   .0074902     0.13   0.895    -.0140539    .0160353
       1981  |  -.0000788    .005593    -0.01   0.989    -.0113127    .0111551
       1982  |  -.0064547   .0050806    -1.27   0.210    -.0166594    .0037499
       1983  |  -.0027655   .0044216    -0.63   0.535    -.0116466    .0061157
       1985  |   .0069747   .0038588     1.81   0.077    -.0007759    .0147253
       1986  |   .0070437   .0037753     1.87   0.068    -.0005393    .0146266
       1987  |   .0115104   .0058211     1.98   0.054    -.0001816    .0232025
       1988  |   .0071262   .0066068     1.08   0.286     -.006144    .0203964
       1989  |    .004453    .005191     0.86   0.395    -.0059734    .0148795
       1990  |  -.0009193   .0074596    -0.12   0.902    -.0159024    .0140637
       1991  |   .0013748   .0065903     0.21   0.836    -.0118622    .0146119
       1992  |  -.0072457   .0071334    -1.02   0.315    -.0215736    .0070821
       1993  |  -.0060456    .006564    -0.92   0.361    -.0192297    .0071386
       1994  |   .0004498    .006646     0.07   0.946     -.012899    .0137986
       1995  |  -.0015181   .0061214    -0.25   0.805    -.0138133    .0107772
       1996  |  -.0081162   .0065742    -1.23   0.223     -.021321    .0050886
       1997  |  -.0014771   .0060393    -0.24   0.808    -.0136074    .0106532
       1998  |  -.0004852   .0070175    -0.07   0.945    -.0145803      .01361
       1999  |    .004879   .0052777     0.92   0.360    -.0057215    .0154795
       2000  |          0  (omitted)
       2001  |  -.0112991   .0050222    -2.25   0.029    -.0213865   -.0012118
       2002  |  -.0119884    .007061    -1.70   0.096    -.0261708    .0021939
       2003  |   .0012851   .0081244     0.16   0.875    -.0150333    .0176035
       2004  |   .0014096   .0109407     0.13   0.898    -.0205654    .0233847
       2005  |  -.0025321   .0111318    -0.23   0.821    -.0248911    .0198269
       2006  |   -.010256   .0099083    -1.04   0.306    -.0301573    .0096453
       2007  |  -.0112142   .0130825    -0.86   0.395    -.0374913    .0150628
       2008  |  -.0140735   .0115851    -1.21   0.230     -.037343    .0091959
       2009  |  -.0249159   .0148939    -1.67   0.101    -.0548312    .0049993
       2010  |  -.0398094   .0155493    -2.56   0.014    -.0710412   -.0085776
       2011  |  -.0385364   .0165345    -2.33   0.024     -.071747   -.0053258
       2012  |  -.0356997   .0170881    -2.09   0.042    -.0700222   -.0013771
       2013  |  -.0436157   .0196837    -2.22   0.031    -.0831516   -.0040798
       2014  |  -.0455426   .0188351    -2.42   0.019    -.0833741   -.0077111
             |
      fipsst |
         AL  |   .0362494   .0007955    45.57   0.000     .0346517    .0378471
         AK  |    .037307   .0011237    33.20   0.000     .0350501     .039564
         AZ  |   .0321578   .0009453    34.02   0.000      .030259    .0340566
         AR  |   .0514374   .0010725    47.96   0.000     .0492833    .0535915
         CO  |   .0633793   .0012884    49.19   0.000     .0607915     .065967
         CT  |   .0437216   .0022752    19.22   0.000     .0391517    .0482915
         DE  |   .0607682   .0008807    69.00   0.000     .0589994    .0625371
         DC  |    .024171   .0052512     4.60   0.000     .0136236    .0347184
         FL  |   .0157352   .0005047    31.18   0.000     .0147215    .0167489
         GA  |   .0273318   .0002961    92.29   0.000     .0267369    .0279266
         HI  |   .0266134    .000266   100.06   0.000     .0260792    .0271476
         ID  |    .037358   .0016578    22.54   0.000     .0340283    .0406877
         IL  |   .0359899   .0015578    23.10   0.000      .032861    .0391188
         IN  |   .0415436   .0005691    73.00   0.000     .0404006    .0426866
         IA  |   .0716689   .0011062    64.79   0.000      .069447    .0738908
         KS  |   .0604387   .0012647    47.79   0.000     .0578984     .062979
         KY  |   .0483931   .0007393    65.46   0.000     .0469082     .049878
         LA  |   .0070317   .0006714    10.47   0.000     .0056831    .0083803
         ME  |   .0704814   .0003254   216.57   0.000     .0698277    .0711351
         MD  |   .0629549   .0017233    36.53   0.000     .0594936    .0664161
         MA  |   .0342869   .0030178    11.36   0.000     .0282254    .0403483
         MI  |   .0320805    .000196   163.67   0.000     .0316868    .0324742
         MN  |   .0896418   .0015762    56.87   0.000      .086476    .0928077
         MS  |   .0265723   .0011637    22.83   0.000     .0242349    .0289097
         MO  |    .051634   .0009014    57.29   0.000     .0498236    .0534444
         MT  |   .0632878   .0003222   196.42   0.000     .0626406     .063935
         NE  |   .0801539   .0008164    98.18   0.000     .0785141    .0817938
         NV  |   .0493811   .0021464    23.01   0.000       .04507    .0536922
         NH  |   .0734744   .0014615    50.27   0.000     .0705388    .0764099
         NJ  |   .0247522   .0019517    12.68   0.000     .0208322    .0286722
         NM  |   .0006716    .001525     0.44   0.662    -.0023914    .0037346
         NY  |  -.0088319   .0019945    -4.43   0.000     -.012838   -.0048258
         NC  |   .0464292   .0003149   147.43   0.000     .0457967    .0470617
         ND  |    .086963   .0008743    99.46   0.000     .0852069    .0887192
         OH  |   .0513882   .0004745   108.30   0.000     .0504352    .0523413
         OK  |   .0319862   .0005356    59.72   0.000     .0309104    .0330621
         OR  |   .0310058   .0002421   128.05   0.000     .0305195    .0314922
         PA  |   .0330401   .0011809    27.98   0.000     .0306683     .035412
         RI  |   .0462304   .0012931    35.75   0.000     .0436331    .0488276
         SC  |   .0363864   .0003897    93.38   0.000     .0356038    .0371691
         SD  |   .0841084    .000417   201.68   0.000     .0832708     .084946
         TN  |   .0319608   .0002657   120.29   0.000     .0314271    .0324944
         TX  |   .0328056   .0004947    66.31   0.000     .0318119    .0337993
         UT  |   .0179625   .0010696    16.79   0.000     .0158142    .0201109
         VT  |   .0453037   .0017506    25.88   0.000     .0417876    .0488198
         VA  |   .0490228   .0015413    31.81   0.000     .0459269    .0521187
         WA  |   .0401215   .0003259   123.13   0.000      .039467     .040776
         WV  |   .0227682   .0012549    18.14   0.000     .0202476    .0252888
         WI  |   .0786863   .0004715   166.88   0.000     .0777393    .0796334
         WY  |   .0494854   .0010009    49.44   0.000     .0474751    .0514958
             |
     imr_ycs |  -.0095566   .0088259    -1.08   0.284     -.027284    .0081708
       _cons |   .8599307    .012642    68.02   0.000     .8345384    .8853229
------------------------------------------------------------------------------
(9,141 missing values generated)
Model mE1b:  reg empl ib10.exper ib2007.year ib1984o2000.entrycohort ib6.fipsst imr_ycs c.ur_st#c.expgp0 c.ur_st#c.expgp2 c.ur_st#c.
> expgp4 c.ur_st#c.expgp6 c.ur_st#c.expgp8 dur c.ur0#c.expgp0 c.ur0#c.expgp2 c.ur0#c.expgp4 c.ur0#c.expgp6 c.ur0#c.expgp8 dur0 if es
> tsampb==1 & educ2==1  [aweight= bigcpswgt], cluster(fipsst)
(sum of wgt is 2,555,460,036.489)
note: 5.exper omitted because of collinearity.
note: 10b.exper identifies no observations in the sample.
note: c.ur_st#c.expgp4 omitted because of collinearity.
note: c.ur_st#c.expgp6 omitted because of collinearity.
note: c.ur_st#c.expgp8 omitted because of collinearity.
note: c.ur0#c.expgp4 omitted because of collinearity.
note: c.ur0#c.expgp6 omitted because of collinearity.
note: c.ur0#c.expgp8 omitted because of collinearity.

Linear regression                               Number of obs     =     23,514
                                                F(49, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.2666
                                                Root MSE          =     .08164

                                    (Std. err. adjusted for 51 clusters in fipsst)
----------------------------------------------------------------------------------
                 |               Robust
            empl | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-----------------+----------------------------------------------------------------
           exper |
              0  |  -.0987699   .0099263    -9.95   0.000    -.1187075   -.0788323
              1  |  -.0362061   .0094193    -3.84   0.000    -.0551253   -.0172868
              2  |  -.0201459   .0065851    -3.06   0.004    -.0333725   -.0069193
              3  |  -.0045698   .0065953    -0.69   0.492    -.0178167    .0086772
              4  |    -.00808   .0019335    -4.18   0.000    -.0119635   -.0041965
              5  |          0  (omitted)
             10  |          0  (empty)
                 |
            year |
           1979  |   .0298917   .0156402     1.91   0.062    -.0015225    .0613059
           1980  |   .0157401   .0148656     1.06   0.295    -.0141183    .0455985
           1981  |   .0114988   .0143708     0.80   0.427    -.0173659    .0403634
           1982  |  -.0022213   .0124138    -0.18   0.859    -.0271552    .0227126
           1983  |  -.0063329   .0119047    -0.53   0.597    -.0302443    .0175785
           1984  |   .0060021   .0110753     0.54   0.590    -.0162433    .0282475
           1985  |     .01504   .0111931     1.34   0.185    -.0074419    .0375219
           1986  |   .0124297   .0106478     1.17   0.249     -.008957    .0338164
           1987  |   .0098034   .0090468     1.08   0.284    -.0083675    .0279744
           1988  |   .0172128   .0080984     2.13   0.039     .0009467     .033479
           1989  |   .0081284   .0088719     0.92   0.364    -.0096913    .0259481
           1990  |   .0001414   .0084126     0.02   0.987    -.0167558    .0170385
           1991  |   -.008997   .0089003    -1.01   0.317    -.0268737    .0088797
           1992  |  -.0029202   .0092812    -0.31   0.754    -.0215619    .0157216
           1993  |   .0048179   .0095313     0.51   0.615    -.0143263    .0239621
           1994  |   .0024217   .0086157     0.28   0.780    -.0148835    .0197269
           1995  |  -.0032968   .0099479    -0.33   0.742    -.0232777    .0166841
           1996  |   -.003115   .0091139    -0.34   0.734    -.0214208    .0151909
           1997  |   .0065496   .0085114     0.77   0.445    -.0105459    .0236452
           1998  |   .0013487   .0098486     0.14   0.892    -.0184328    .0211302
           1999  |  -.0040597   .0084087    -0.48   0.631    -.0209491    .0128297
           2000  |    .000357   .0085727     0.04   0.967    -.0168618    .0175758
           2001  |  -.0126901   .0091082    -1.39   0.170    -.0309845    .0056043
           2002  |  -.0177199   .0077221    -2.29   0.026    -.0332303   -.0022096
           2003  |  -.0249961   .0068204    -3.66   0.001    -.0386952   -.0112969
           2004  |   -.018154   .0085503    -2.12   0.039    -.0353279   -.0009801
           2005  |   -.015888   .0066502    -2.39   0.021    -.0292454   -.0025306
           2006  |  -.0107911   .0052207    -2.07   0.044    -.0212771   -.0003051
           2008  |  -.0185433   .0068173    -2.72   0.009    -.0322363   -.0048503
           2009  |  -.0332463   .0083357    -3.99   0.000    -.0499891   -.0165036
           2010  |   -.033041   .0083644    -3.95   0.000    -.0498413   -.0162406
           2011  |  -.0323687   .0079853    -4.05   0.000    -.0484076   -.0163299
           2012  |  -.0240889   .0097433    -2.47   0.017    -.0436589   -.0045189
           2013  |  -.0328956   .0106129    -3.10   0.003    -.0542123   -.0115789
           2014  |  -.0211544   .0122844    -1.72   0.091    -.0458283    .0035195
           2015  |  -.0219103   .0122235    -1.79   0.079    -.0464619    .0026413
           2016  |  -.0099992   .0125537    -0.80   0.429     -.035214    .0152155
           2017  |  -.0087695   .0156784    -0.56   0.578    -.0402605    .0227214
           2018  |    .014384   .0179327     0.80   0.426     -.021635    .0504029
           2019  |    .004936   .0182558     0.27   0.788    -.0317318    .0416038
                 |
     entrycohort |
           1974  |  -.0589314   .0155972    -3.78   0.000    -.0902593   -.0276034
           1975  |  -.0372795   .0134983    -2.76   0.008    -.0643918   -.0101673
           1976  |  -.0372052   .0121875    -3.05   0.004    -.0616844    -.012726
           1977  |  -.0242985   .0101716    -2.39   0.021    -.0447287   -.0038683
           1978  |  -.0223321   .0099587    -2.24   0.029    -.0423347   -.0023294
           1979  |  -.0173882    .007924    -2.19   0.033    -.0333041   -.0014723
           1980  |  -.0108814   .0080376    -1.35   0.182    -.0270253    .0052626
           1981  |  -.0073849   .0062273    -1.19   0.241    -.0198928    .0051231
           1982  |  -.0083709    .004998    -1.67   0.100    -.0184096    .0016678
           1983  |   -.003127   .0044448    -0.70   0.485    -.0120546    .0058006
           1985  |   .0081249   .0039265     2.07   0.044     .0002382    .0160115
           1986  |     .00767    .003934     1.95   0.057    -.0002316    .0155717
           1987  |   .0116726   .0058445     2.00   0.051    -.0000664    .0234117
           1988  |   .0073612   .0065494     1.12   0.266    -.0057936    .0205159
           1989  |   .0058682   .0053581     1.10   0.279    -.0048939    .0166304
           1990  |   .0030899   .0083473     0.37   0.713    -.0136762     .019856
           1991  |   .0083639   .0073923     1.13   0.263     -.006484    .0232118
           1992  |   .0013027   .0079509     0.16   0.871    -.0146672    .0172725
           1993  |   .0021403   .0070105     0.31   0.761    -.0119407    .0162213
           1994  |   .0076207   .0071155     1.07   0.289    -.0066712    .0219126
           1995  |   .0049375   .0065369     0.76   0.454    -.0081923    .0180673
           1996  |  -.0023696   .0070379    -0.34   0.738    -.0165056    .0117665
           1997  |   .0020834   .0059552     0.35   0.728     -.009878    .0140447
           1998  |   .0015096   .0069085     0.22   0.828    -.0123666    .0153858
           1999  |   .0054126   .0053908     1.00   0.320    -.0054151    .0162403
           2000  |          0  (omitted)
           2001  |  -.0100345   .0050148    -2.00   0.051    -.0201069     .000038
           2002  |  -.0097383   .0070869    -1.37   0.176    -.0239728    .0044961
           2003  |   .0030863   .0079856     0.39   0.701    -.0129533    .0191259
           2004  |    .001481   .0107838     0.14   0.891     -.020179     .023141
           2005  |  -.0034408   .0109927    -0.31   0.756    -.0255203    .0186386
           2006  |  -.0106988   .0098946    -1.08   0.285    -.0305726     .009175
           2007  |  -.0094441   .0134446    -0.70   0.486    -.0364483    .0175601
           2008  |  -.0067925   .0121662    -0.56   0.579     -.031229     .017644
           2009  |  -.0108749   .0147597    -0.74   0.465    -.0405206    .0187708
           2010  |  -.0226981   .0164822    -1.38   0.175    -.0558037    .0104075
           2011  |  -.0199153   .0173197    -1.15   0.256    -.0547029    .0148723
           2012  |  -.0159908   .0180539    -0.89   0.380    -.0522532    .0202716
           2013  |  -.0240916    .020497    -1.18   0.245    -.0652611    .0170779
           2014  |  -.0270471   .0200258    -1.35   0.183    -.0672701    .0131759
                 |
          fipsst |
             AL  |   .0339843   .0006941    48.96   0.000     .0325901    .0353785
             AK  |   .0386589   .0011183    34.57   0.000     .0364128     .040905
             AZ  |   .0227461   .0009796    23.22   0.000     .0207785    .0247138
             AR  |   .0428989   .0010377    41.34   0.000     .0408147    .0449831
             CO  |   .0478939   .0026216    18.27   0.000     .0426282    .0531596
             CT  |   .0295685   .0031969     9.25   0.000     .0231473    .0359897
             DE  |   .0430795   .0024193    17.81   0.000     .0382203    .0479388
             DC  |   .0318316     .00458     6.95   0.000     .0226324    .0410308
             FL  |   .0055923   .0010771     5.19   0.000     .0034289    .0077556
             GA  |   .0172568   .0013409    12.87   0.000     .0145635    .0199501
             HI  |   .0039938   .0025904     1.54   0.129    -.0012092    .0091968
             ID  |   .0233836   .0017211    13.59   0.000     .0199266    .0268405
             IL  |    .034958   .0015198    23.00   0.000     .0319055    .0380106
             IN  |   .0318955   .0010253    31.11   0.000     .0298361    .0339548
             IA  |   .0488963   .0032012    15.27   0.000     .0424665    .0553261
             KS  |   .0388965   .0031714    12.26   0.000     .0325266    .0452665
             KY  |   .0441095   .0006281    70.22   0.000     .0428479    .0453711
             LA  |   .0060736   .0006217     9.77   0.000     .0048248    .0073223
             ME  |   .0564016   .0014663    38.47   0.000     .0534565    .0593466
             MD  |   .0468214    .003006    15.58   0.000     .0407836    .0528592
             MA  |   .0207177    .003806     5.44   0.000     .0130732    .0283623
             MI  |    .037615   .0007059    53.29   0.000     .0361972    .0390328
             MN  |   .0702318   .0031967    21.97   0.000     .0638109    .0766526
             MS  |    .028559   .0012356    23.11   0.000     .0260773    .0310407
             MO  |   .0410442   .0017025    24.11   0.000     .0376247    .0444637
             MT  |   .0487172   .0015649    31.13   0.000      .045574    .0518605
             NE  |   .0481074   .0040526    11.87   0.000     .0399675    .0562473
             NV  |   .0437978   .0017365    25.22   0.000       .04031    .0472856
             NH  |   .0480035   .0037593    12.77   0.000     .0404528    .0555542
             NJ  |   .0166877   .0023626     7.06   0.000     .0119423     .021433
             NM  |  -.0071617   .0012542    -5.71   0.000    -.0096808   -.0046426
             NY  |   -.015059   .0022995    -6.55   0.000    -.0196777   -.0104403
             NC  |   .0353976   .0014643    24.17   0.000     .0324565    .0383387
             ND  |   .0565684   .0039087    14.47   0.000     .0487175    .0644193
             OH  |   .0469177   .0007742    60.60   0.000     .0453626    .0484727
             OK  |   .0125453   .0020318     6.17   0.000     .0084644    .0166262
             OR  |   .0293673   .0002194   133.86   0.000     .0289267     .029808
             PA  |   .0261206   .0016203    16.12   0.000     .0228661    .0293751
             RI  |   .0406163   .0015838    25.64   0.000     .0374351    .0437975
             SC  |   .0310288   .0006055    51.25   0.000     .0298127    .0322449
             SD  |   .0525873   .0037065    14.19   0.000     .0451426     .060032
             TN  |   .0245211   .0008276    29.63   0.000     .0228589    .0261834
             TX  |   .0209557   .0012764    16.42   0.000     .0183921    .0235193
             UT  |  -.0041143   .0024245    -1.70   0.096     -.008984    .0007555
             VT  |   .0226724     .00361     6.28   0.000     .0154214    .0299233
             VA  |    .027858   .0033936     8.21   0.000     .0210417    .0346743
             WA  |   .0361312   .0006466    55.88   0.000     .0348324      .03743
             WV  |   .0290121   .0016394    17.70   0.000     .0257193    .0323049
             WI  |   .0638953   .0018733    34.11   0.000     .0601327    .0676579
             WY  |   .0266354   .0023325    11.42   0.000     .0219504    .0313204
                 |
         imr_ycs |  -.0005652   .0077669    -0.07   0.942    -.0161656    .0150351
                 |
c.ur_st#c.expgp0 |  -.0052706   .0020704    -2.55   0.014     -.009429   -.0011121
                 |
c.ur_st#c.expgp2 |  -.0009744   .0010294    -0.95   0.348     -.003042    .0010932
                 |
c.ur_st#c.expgp4 |          0  (omitted)
                 |
c.ur_st#c.expgp6 |          0  (omitted)
                 |
c.ur_st#c.expgp8 |          0  (omitted)
                 |
             dur |  -.0058693   .0009079    -6.46   0.000    -.0076928   -.0040457
                 |
  c.ur0#c.expgp0 |   .0002887   .0021398     0.13   0.893    -.0040092    .0045865
                 |
  c.ur0#c.expgp2 |  -.0021014   .0008842    -2.38   0.021    -.0038774   -.0003253
                 |
  c.ur0#c.expgp4 |          0  (omitted)
                 |
  c.ur0#c.expgp6 |          0  (omitted)
                 |
  c.ur0#c.expgp8 |          0  (omitted)
                 |
            dur0 |  -.0006838    .000731    -0.94   0.354     -.002152    .0007845
           _cons |   .8565452   .0119008    71.97   0.000     .8326417    .8804488
----------------------------------------------------------------------------------
Starting models for variable log_pearnval_tc_r, with weight marchwgt, for education group 0
Model mB0b:  reg log_pearnval_tc_r ib10.exper ib2007.year ib1984o2000.entrycohort ib6.fipsst imr_ycs if estsampb==1 & educ2==0  [awe
> ight= marchwgt], cluster(fipsst)
(sum of wgt is 3,576,086,407.47)
note: 9.exper omitted because of collinearity.
note: 10b.exper identifies no observations in the sample.

Linear regression                               Number of obs     =     31,607
                                                F(49, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.3642
                                                Root MSE          =     .41312

                                (Std. err. adjusted for 51 clusters in fipsst)
------------------------------------------------------------------------------
             |               Robust
log_pearnv~r | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       exper |
          0  |  -1.373077    .083488   -16.45   0.000    -1.540768   -1.205387
          1  |  -1.026708   .0835883   -12.28   0.000      -1.1946   -.8588157
          2  |  -.7850293   .0738896   -10.62   0.000     -.933441   -.6366177
          3  |  -.5975405   .0528255   -11.31   0.000    -.7036436   -.4914374
          4  |  -.4259339   .0227612   -18.71   0.000    -.4716511   -.3802167
          5  |  -.3184326   .0134267   -23.72   0.000     -.345401   -.2914642
          6  |  -.1411253   .0105569   -13.37   0.000    -.1623294   -.1199212
          7  |  -.0871078    .008314   -10.48   0.000     -.103807   -.0704085
          8  |  -.0442783   .0067106    -6.60   0.000     -.057757   -.0307996
          9  |          0  (omitted)
         10  |          0  (empty)
             |
        year |
       1979  |   .3717199   .0433762     8.57   0.000     .2845961    .4588436
       1980  |   .2839547   .0413539     6.87   0.000      .200893    .3670164
       1981  |   .2244971   .0414898     5.41   0.000     .1411623    .3078319
       1982  |   .1559759   .0419252     3.72   0.001     .0717667     .240185
       1983  |   .0668469    .040268     1.66   0.103    -.0140338    .1477277
       1984  |   .0472599   .0346977     1.36   0.179    -.0224324    .1169521
       1985  |   .0650621   .0331159     1.96   0.055    -.0014532    .1315774
       1986  |   .0653168   .0416269     1.57   0.123    -.0182933    .1489269
       1987  |   .0771217   .0316739     2.43   0.019     .0135027    .1407406
       1988  |   .0257712   .0357766     0.72   0.475    -.0460883    .0976308
       1989  |   .0207147   .0300117     0.69   0.493    -.0395655    .0809948
       1990  |  -.0287099   .0324279    -0.89   0.380    -.0938432    .0364234
       1991  |   -.097551   .0289108    -3.37   0.001    -.1556201    -.039482
       1992  |  -.1530857   .0295421    -5.18   0.000    -.2124228   -.0937487
       1993  |  -.1805905   .0228316    -7.91   0.000     -.226449    -.134732
       1994  |   -.143824   .0206711    -6.96   0.000    -.1853431   -.1023049
       1995  |  -.1319059   .0222139    -5.94   0.000    -.1765237    -.087288
       1996  |   -.102206   .0182737    -5.59   0.000    -.1389098   -.0655021
       1997  |  -.0617019   .0209769    -2.94   0.005    -.1038352   -.0195686
       1998  |  -.0069843   .0175213    -0.40   0.692    -.0421768    .0282082
       1999  |  -.0129397   .0247986    -0.52   0.604    -.0627491    .0368698
       2000  |   .0695897    .017599     3.95   0.000     .0342411    .1049384
       2001  |   .0577422   .0211447     2.73   0.009     .0152717    .1002126
       2002  |   .0080581   .0241612     0.33   0.740    -.0404711    .0565873
       2003  |  -.0264116   .0192583    -1.37   0.176     -.065093    .0122699
       2004  |  -.0281975   .0170245    -1.66   0.104    -.0623922    .0059973
       2005  |  -.0105654    .013795    -0.77   0.447    -.0382735    .0171427
       2006  |  -.0121021   .0155775    -0.78   0.441    -.0433905    .0191863
       2008  |  -.0370729   .0202932    -1.83   0.074    -.0778329    .0036872
       2009  |  -.1167788   .0199543    -5.85   0.000    -.1568582   -.0766995
       2010  |  -.1568193   .0250852    -6.25   0.000    -.2072044   -.1064342
       2011  |  -.1591602   .0213067    -7.47   0.000    -.2019559   -.1163645
       2012  |  -.1222928   .0220155    -5.55   0.000    -.1665122   -.0780735
       2013  |  -.1026063   .0230423    -4.45   0.000    -.1488881   -.0563245
       2014  |  -.0399782   .0194636    -2.05   0.045     -.079072   -.0008844
       2015  |  -.0102392    .024242    -0.42   0.675    -.0589306    .0384522
       2016  |   .0456683   .0184104     2.48   0.017     .0086899    .0826468
       2017  |   .0631847     .02119     2.98   0.004     .0206234     .105746
             |
 entrycohort |
       1970  |  -.4937549   .0447227   -11.04   0.000    -.5835832   -.4039267
       1971  |  -.4423299   .0496207    -8.91   0.000     -.541996   -.3426637
       1972  |  -.4266343   .0367373   -11.61   0.000    -.5004234   -.3528452
       1973  |  -.3883909   .0379509   -10.23   0.000    -.4646175   -.3121642
       1974  |  -.3111683    .039726    -7.83   0.000    -.3909603   -.2313763
       1975  |  -.2544093   .0347249    -7.33   0.000    -.3241563   -.1846622
       1976  |  -.1499936   .0283462    -5.29   0.000    -.2069287   -.0930586
       1977  |  -.1073556   .0242415    -4.43   0.000     -.156046   -.0586652
       1978  |  -.1765366    .023329    -7.57   0.000    -.2233942    -.129679
       1979  |  -.1681908   .0276547    -6.08   0.000     -.223737   -.1126446
       1980  |  -.0914715   .0159404    -5.74   0.000    -.1234887   -.0594543
       1981  |  -.0906693   .0190332    -4.76   0.000    -.1288986   -.0524401
       1982  |  -.0499459   .0149691    -3.34   0.002    -.0800123   -.0198795
       1983  |  -.0142715   .0157061    -0.91   0.368    -.0458181     .017275
       1985  |   -.000109   .0188334    -0.01   0.995     -.037937     .037719
       1986  |  -.0010524   .0220785    -0.05   0.962    -.0453984    .0432935
       1987  |   .0457883   .0206943     2.21   0.032     .0042226     .087354
       1988  |   .0294259    .017847     1.65   0.105    -.0064209    .0652727
       1989  |   .0207349   .0186798     1.11   0.272    -.0167845    .0582543
       1990  |    .036638   .0191163     1.92   0.061    -.0017582    .0750342
       1991  |   .0100225   .0172726     0.58   0.564    -.0246705    .0447156
       1992  |  -.0160894   .0184013    -0.87   0.386    -.0530495    .0208708
       1993  |  -.0171235   .0242448    -0.71   0.483    -.0658207    .0315736
       1994  |    .010352   .0181604     0.57   0.571    -.0261242    .0468282
       1995  |   .0242313   .0142058     1.71   0.094     -.004302    .0527646
       1996  |   .0150698   .0167614     0.90   0.373    -.0185965    .0487361
       1997  |    .033465   .0200703     1.67   0.102    -.0068475    .0737774
       1998  |   .0180459   .0165597     1.09   0.281    -.0152152    .0513071
       1999  |   .0276373   .0162517     1.70   0.095    -.0050052    .0602799
       2000  |          0  (omitted)
       2001  |   .0571944   .0161713     3.54   0.001     .0247135    .0896754
       2002  |   .0364874   .0181938     2.01   0.050    -.0000559    .0730307
       2003  |   .0318427   .0238936     1.33   0.189    -.0161491    .0798345
       2004  |   .0360925   .0189918     1.90   0.063    -.0020537    .0742388
       2005  |   .0324706   .0189935     1.71   0.094    -.0056788    .0706201
       2006  |   .0063731   .0249389     0.26   0.799    -.0437182    .0564645
       2007  |  -.0095526   .0228121    -0.42   0.677    -.0553721    .0362668
       2008  |  -.0231302   .0204975    -1.13   0.265    -.0643006    .0180402
       2009  |  -.0432628   .0242883    -1.78   0.081    -.0920473    .0055218
       2010  |   -.036894   .0204729    -1.80   0.078    -.0780151    .0042271
       2011  |  -.0659108   .0295429    -2.23   0.030    -.1252495   -.0065721
       2012  |  -.0711261   .0322331    -2.21   0.032    -.1358681    -.006384
       2013  |  -.0599663   .0431957    -1.39   0.171    -.1467274    .0267948
       2014  |  -.0286803   .0319648    -0.90   0.374    -.0928835     .035523
             |
      fipsst |
         AL  |  -.2116034   .0025714   -82.29   0.000    -.2167683   -.2064385
         AK  |   .0079722   .0063283     1.26   0.214    -.0047385     .020683
         AZ  |  -.0447043   .0063138    -7.08   0.000    -.0573859   -.0320227
         AR  |  -.2282386   .0067056   -34.04   0.000    -.2417071     -.21477
         CO  |   .0030598   .0122747     0.25   0.804    -.0215946    .0277142
         CT  |   .0210779   .0193341     1.09   0.281    -.0177558    .0599115
         DE  |  -.1390321   .0096077   -14.47   0.000    -.1583297   -.1197345
         DC  |  -.1467059   .0279653    -5.25   0.000    -.2028759    -.090536
         FL  |  -.1393046   .0053253   -26.16   0.000    -.1500008   -.1286084
         GA  |  -.0752913    .005771   -13.05   0.000    -.0868828   -.0636998
         HI  |   .0011936   .0112465     0.11   0.916    -.0213956    .0237828
         ID  |  -.2349258   .0094012   -24.99   0.000    -.2538087   -.2160429
         IL  |   .0444474   .0077173     5.76   0.000     .0289468    .0599479
         IN  |  -.1187883   .0064784   -18.34   0.000    -.1318004   -.1057761
         IA  |  -.0458475   .0116394    -3.94   0.000    -.0692258   -.0224692
         KS  |  -.0231423   .0121297    -1.91   0.062    -.0475055    .0012209
         KY  |   -.196256    .007804   -25.15   0.000    -.2119308   -.1805812
         LA  |  -.0766941   .0082142    -9.34   0.000    -.0931927   -.0601955
         ME  |  -.1870364   .0043176   -43.32   0.000    -.1957085   -.1783642
         MD  |   .0023225   .0128334     0.18   0.857    -.0234542    .0280992
         MA  |  -.0821451    .011321    -7.26   0.000     -.104884   -.0594062
         MI  |  -.0085846   .0047207    -1.82   0.075    -.0180663    .0008971
         MN  |  -.0293044   .0073883    -3.97   0.000    -.0441443   -.0144644
         MS  |  -.1791001   .0078561   -22.80   0.000    -.1948795   -.1633207
         MO  |  -.0570329   .0125905    -4.53   0.000    -.0823216   -.0317443
         MT  |  -.2836548   .0092407   -30.70   0.000    -.3022153   -.2650943
         NE  |  -.2194494   .0118987   -18.44   0.000    -.2433486   -.1955502
         NV  |    .063022    .007866     8.01   0.000     .0472227    .0788212
         NH  |   .0800537   .0097622     8.20   0.000     .0604457    .0996617
         NJ  |   .0252606   .0130131     1.94   0.058    -.0008769    .0513981
         NM  |  -.2489403   .0060799   -40.94   0.000    -.2611522   -.2367284
         NY  |  -.0806596     .00673   -11.99   0.000    -.0941772   -.0671419
         NC  |  -.0971381   .0089591   -10.84   0.000     -.115133   -.0791431
         ND  |  -.1617192   .0078141   -20.70   0.000    -.1774142   -.1460242
         OH  |   .0107844    .006457     1.67   0.101    -.0021849    .0237537
         OK  |   -.168976     .00981   -17.22   0.000      -.18868    -.149272
         OR  |  -.2712488   .0074165   -36.57   0.000    -.2861454   -.2563523
         PA  |   .0197275     .00932     2.12   0.039     .0010078    .0384472
         RI  |  -.1560987   .0148082   -10.54   0.000    -.1858418   -.1263556
         SC  |  -.0961011   .0087079   -11.04   0.000    -.1135915   -.0786108
         SD  |  -.2160237   .0078274   -27.60   0.000    -.2317454    -.200302
         TN  |  -.0876781   .0057772   -15.18   0.000    -.0992819   -.0760743
         TX  |  -.0946679   .0015353   -61.66   0.000    -.0977516   -.0915843
         UT  |  -.1952713   .0072528   -26.92   0.000    -.2098389   -.1807037
         VT  |  -.1558467   .0084022   -18.55   0.000     -.172723   -.1389704
         VA  |   -.037729   .0095819    -3.94   0.000    -.0569749   -.0184831
         WA  |  -.0980717    .009281   -10.57   0.000    -.1167132   -.0794303
         WV  |  -.2608527   .0105505   -24.72   0.000     -.282044   -.2396614
         WI  |  -.0314502   .0065562    -4.80   0.000    -.0446187   -.0182817
         WY  |   .0470554   .0081731     5.76   0.000     .0306393    .0634715
             |
     imr_ycs |   .0096519   .0467746     0.21   0.837    -.0842977    .1036015
       _cons |   10.06845    .063159   159.41   0.000     9.941593    10.19531
------------------------------------------------------------------------------
(9,141 missing values generated)
Model mE0b:  reg log_pearnval_tc_r ib10.exper ib2007.year ib1984o2000.entrycohort ib6.fipsst imr_ycs c.ur_st#c.expgp0 c.ur_st#c.expg
> p2 c.ur_st#c.expgp4 c.ur_st#c.expgp6 c.ur_st#c.expgp8 dur c.ur0#c.expgp0 c.ur0#c.expgp2 c.ur0#c.expgp4 c.ur0#c.expgp6 c.ur0#c.expg
> p8 dur0 if estsampb==1 & educ2==0  [aweight= marchwgt], cluster(fipsst)
(sum of wgt is 3,576,086,407.47)
note: 9.exper omitted because of collinearity.
note: 10b.exper identifies no observations in the sample.
note: c.ur_st#c.expgp8 omitted because of collinearity.
note: c.ur0#c.expgp8 omitted because of collinearity.

Linear regression                               Number of obs     =     31,607
                                                F(49, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.3680
                                                Root MSE          =     .41193

                                    (Std. err. adjusted for 51 clusters in fipsst)
----------------------------------------------------------------------------------
                 |               Robust
log_pearnval_t~r | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-----------------+----------------------------------------------------------------
           exper |
              0  |  -1.267083   .1612916    -7.86   0.000    -1.591047   -.9431197
              1  |  -.9131977   .1643793    -5.56   0.000    -1.243363   -.5830322
              2  |  -.7871248   .0865913    -9.09   0.000    -.9610485   -.6132011
              3  |  -.5981244   .0698116    -8.57   0.000     -.738345   -.4579038
              4  |  -.2667669   .0639957    -4.17   0.000     -.395306   -.1382277
              5  |  -.1584751   .0646059    -2.45   0.018    -.2882397   -.0287104
              6  |   -.033471   .0757762    -0.44   0.661    -.1856719    .1187299
              7  |   .0207094   .0744779     0.28   0.782    -.1288838    .1703026
              8  |  -.0444818   .0072183    -6.16   0.000    -.0589801   -.0299835
              9  |          0  (omitted)
             10  |          0  (empty)
                 |
            year |
           1979  |   .3868877   .0534284     7.24   0.000     .2795737    .4942017
           1980  |   .3141103   .0522833     6.01   0.000     .2090961    .4191244
           1981  |   .2620458   .0538515     4.87   0.000      .153882    .3702096
           1982  |   .2135691   .0601109     3.55   0.001     .0928329    .3343053
           1983  |   .1260555   .0549595     2.29   0.026      .015666    .2364449
           1984  |   .0796712    .042804     1.86   0.069    -.0063032    .1656455
           1985  |   .0865203   .0352242     2.46   0.018     .0157705    .1572701
           1986  |   .0885467    .040756     2.17   0.035      .006686    .1704074
           1987  |   .0931026   .0318913     2.92   0.005      .029047    .1571581
           1988  |   .0385924   .0291692     1.32   0.192    -.0199956    .0971805
           1989  |   .0307537   .0259297     1.19   0.241    -.0213277    .0828351
           1990  |   -.012469   .0280516    -0.44   0.659    -.0688123    .0438743
           1991  |  -.0652288   .0289672    -2.25   0.029    -.1234112   -.0070463
           1992  |  -.1129218   .0285211    -3.96   0.000    -.1702082   -.0556354
           1993  |  -.1465598   .0252022    -5.82   0.000    -.1971799   -.0959397
           1994  |  -.1220144   .0233078    -5.23   0.000    -.1688294   -.0751993
           1995  |  -.1154906   .0242272    -4.77   0.000    -.1641524   -.0668288
           1996  |  -.0841817   .0193345    -4.35   0.000    -.1230161   -.0453473
           1997  |  -.0439679   .0233104    -1.89   0.065    -.0907883    .0028524
           1998  |   .0036835   .0199514     0.18   0.854      -.03639    .0437571
           1999  |  -.0046512   .0268202    -0.17   0.863    -.0585212    .0492187
           2000  |   .0729445   .0166674     4.38   0.000      .039467    .1064219
           2001  |   .0676075   .0237443     2.85   0.006     .0199156    .1152994
           2002  |   .0322503   .0295526     1.09   0.280    -.0271079    .0916084
           2003  |  -.0006383   .0239576    -0.03   0.979    -.0487585     .047482
           2004  |  -.0125915   .0167891    -0.75   0.457    -.0463134    .0211304
           2005  |  -.0027883   .0129397    -0.22   0.830    -.0287784    .0232017
           2006  |  -.0103909   .0132835    -0.78   0.438    -.0370715    .0162898
           2008  |  -.0244916   .0202414    -1.21   0.232    -.0651477    .0161644
           2009  |  -.0670285   .0323515    -2.07   0.043    -.1320084   -.0020485
           2010  |  -.1002488   .0366622    -2.73   0.009     -.173887   -.0266106
           2011  |  -.1159655   .0309522    -3.75   0.000    -.1781348   -.0537962
           2012  |  -.0991605     .02579    -3.84   0.000    -.1509612   -.0473599
           2013  |  -.0914084   .0252449    -3.62   0.001    -.1421142   -.0407026
           2014  |  -.0389434   .0199287    -1.95   0.056    -.0789714    .0010846
           2015  |  -.0206297   .0242682    -0.85   0.399    -.0693739    .0281145
           2016  |   .0320387   .0208805     1.53   0.131    -.0099011    .0739785
           2017  |   .0440049   .0238712     1.84   0.071    -.0039418    .0919515
                 |
     entrycohort |
           1970  |  -.4846543   .0574566    -8.44   0.000    -.6000592   -.3692493
           1971  |  -.4328149   .0507801    -8.52   0.000    -.5348096   -.3308201
           1972  |  -.4271742   .0391274   -10.92   0.000     -.505764   -.3485845
           1973  |  -.3920348   .0444853    -8.81   0.000    -.4813861   -.3026836
           1974  |  -.3171771   .0422287    -7.51   0.000    -.4019959   -.2323582
           1975  |  -.2415138   .0429221    -5.63   0.000    -.3277253   -.1553022
           1976  |  -.1539323   .0332259    -4.63   0.000    -.2206685    -.087196
           1977  |  -.1030192    .030957    -3.33   0.002    -.1651983   -.0408402
           1978  |  -.1572577   .0289602    -5.43   0.000    -.2154258   -.0990895
           1979  |  -.1559698   .0313432    -4.98   0.000    -.2189244   -.0930152
           1980  |  -.0795718   .0189042    -4.21   0.000    -.1175421   -.0416015
           1981  |  -.0797634   .0208278    -3.83   0.000    -.1215973   -.0379295
           1982  |  -.0422039   .0156862    -2.69   0.010    -.0737104   -.0106973
           1983  |  -.0003638   .0171026    -0.02   0.983    -.0347154    .0339878
           1985  |   .0023891   .0194727     0.12   0.903    -.0367231    .0415012
           1986  |   .0043729    .021438     0.20   0.839    -.0386865    .0474324
           1987  |    .051185   .0246513     2.08   0.043     .0016713    .1006987
           1988  |   .0329938   .0197377     1.67   0.101    -.0066506    .0726382
           1989  |   .0277105   .0204069     1.36   0.181    -.0132779    .0686989
           1990  |    .040775   .0186218     2.19   0.033     .0033719    .0781781
           1991  |   .0172908   .0172579     1.00   0.321    -.0173728    .0519544
           1992  |   -.012742   .0165647    -0.77   0.445    -.0460131    .0205291
           1993  |  -.0124278    .022208    -0.56   0.578     -.057034    .0321784
           1994  |    .012056   .0196998     0.61   0.543    -.0275122    .0516242
           1995  |   .0256233   .0133622     1.92   0.061    -.0012154     .052462
           1996  |   .0196153    .013907     1.41   0.165    -.0083177    .0475482
           1997  |   .0395709    .019061     2.08   0.043     .0012858     .077856
           1998  |    .027986   .0149442     1.87   0.067    -.0020303    .0580022
           1999  |   .0372018   .0145771     2.55   0.014     .0079229    .0664807
           2000  |          0  (omitted)
           2001  |   .0566959   .0161517     3.51   0.001     .0242543    .0891375
           2002  |   .0381016   .0244897     1.56   0.126    -.0110874    .0872906
           2003  |   .0386392   .0272287     1.42   0.162    -.0160513    .0933297
           2004  |   .0527683   .0223919     2.36   0.022     .0077928    .0977438
           2005  |   .0552424   .0218076     2.53   0.014     .0114406    .0990442
           2006  |   .0347597    .026991     1.29   0.204    -.0194534    .0889727
           2007  |   .0179034    .031106     0.58   0.567    -.0445748    .0803817
           2008  |   .0024693   .0249377     0.10   0.922    -.0476196    .0525582
           2009  |  -.0102985   .0315706    -0.33   0.746    -.0737099    .0531129
           2010  |  -.0011554   .0289928    -0.04   0.968    -.0593891    .0570782
           2011  |  -.0286438   .0390988    -0.73   0.467     -.107176    .0498884
           2012  |  -.0393284   .0449189    -0.88   0.385    -.1295508    .0508939
           2013  |  -.0251792   .0551783    -0.46   0.650     -.136008    .0856496
           2014  |   .0096255   .0387283     0.25   0.805    -.0681625    .0874135
                 |
          fipsst |
             AL  |   -.198602    .007739   -25.66   0.000    -.2141462   -.1830579
             AK  |   .0781115   .0169889     4.60   0.000     .0439883    .1122347
             AZ  |  -.0847891   .0074651   -11.36   0.000    -.0997832   -.0697951
             AR  |  -.2498278   .0076649   -32.59   0.000    -.2652232   -.2344324
             CO  |  -.0663949    .011796    -5.63   0.000    -.0900878   -.0427019
             CT  |  -.0351049   .0168837    -2.08   0.043    -.0690169   -.0011929
             DE  |  -.1555814    .011221   -13.87   0.000    -.1781195   -.1330433
             DC  |  -.1313684    .030858    -4.26   0.000    -.1933485   -.0693883
             FL  |  -.1659921   .0051989   -31.93   0.000    -.1764345   -.1555497
             GA  |  -.1268235   .0081575   -15.55   0.000    -.1432083   -.1104388
             HI  |  -.0491972   .0101216    -4.86   0.000     -.069527   -.0288674
             ID  |  -.2742544   .0108141   -25.36   0.000    -.2959752   -.2525337
             IL  |   .0129997   .0079966     1.63   0.110     -.003062    .0290613
             IN  |  -.1385452   .0083123   -16.67   0.000     -.155241   -.1218495
             IA  |  -.1346445   .0121973   -11.04   0.000    -.1591434   -.1101455
             KS  |  -.1339059   .0153678    -8.71   0.000    -.1647731   -.1030387
             KY  |  -.2278713   .0075017   -30.38   0.000    -.2429389   -.2128038
             LA  |  -.0782397   .0106683    -7.33   0.000    -.0996676   -.0568118
             ME  |  -.1983305   .0042819   -46.32   0.000    -.2069309     -.18973
             MD  |  -.0474354   .0122931    -3.86   0.000    -.0721269   -.0227439
             MA  |   -.127071   .0123106   -10.32   0.000    -.1517977   -.1023444
             MI  |   .0343373   .0101439     3.39   0.001     .0139627     .054712
             MN  |  -.1274129   .0138701    -9.19   0.000    -.1552718   -.0995541
             MS  |  -.1908469   .0074051   -25.77   0.000    -.2057204   -.1759733
             MO  |    -.11556   .0112609   -10.26   0.000    -.1381783   -.0929418
             MT  |  -.3375896     .00977   -34.55   0.000    -.3572132   -.3179659
             NE  |  -.3549375   .0190095   -18.67   0.000    -.3931193   -.3167557
             NV  |   .0300424   .0092624     3.24   0.002     .0114384    .0486465
             NH  |  -.0376084   .0186835    -2.01   0.050    -.0751354   -.0000815
             NJ  |   .0188986    .014361     1.32   0.194    -.0099463    .0477436
             NM  |  -.2622966   .0062103   -42.24   0.000    -.2747703   -.2498229
             NY  |  -.0666699   .0074516    -8.95   0.000    -.0816369   -.0517029
             NC  |  -.1562436   .0087962   -17.76   0.000    -.1739114   -.1385758
             ND  |  -.2769866   .0154746   -17.90   0.000    -.3080682   -.2459051
             OH  |  -.0174137    .007384    -2.36   0.022     -.032245   -.0025825
             OK  |  -.2712714   .0154782   -17.53   0.000    -.3023603   -.2401825
             OR  |  -.2696052   .0094236   -28.61   0.000    -.2885331   -.2506773
             PA  |   .0142914   .0114068     1.25   0.216    -.0086198    .0372025
             RI  |  -.1723888   .0150716   -11.44   0.000     -.202661   -.1421167
             SC  |  -.1401528    .009066   -15.46   0.000    -.1583624   -.1219432
             SD  |  -.3399037   .0207044   -16.42   0.000    -.3814896   -.2983177
             TN  |  -.1201052   .0063692   -18.86   0.000    -.1328982   -.1073122
             TX  |  -.1697216   .0099662   -17.03   0.000    -.1897392    -.149704
             UT  |  -.2826429   .0131617   -21.47   0.000    -.3090789   -.2562069
             VT  |  -.2221866   .0103195   -21.53   0.000    -.2429139   -.2014593
             VA  |  -.1194154   .0118562   -10.07   0.000    -.1432293   -.0956015
             WA  |  -.0985364   .0100236    -9.83   0.000    -.1186694   -.0784035
             WV  |  -.2436739   .0117829   -20.68   0.000    -.2673405   -.2200073
             WI  |  -.1010336   .0107821    -9.37   0.000    -.1226902   -.0793771
             WY  |  -.0737386   .0191815    -3.84   0.000    -.1122658   -.0352113
                 |
         imr_ycs |   .0102176   .0456194     0.22   0.824    -.0814117     .101847
                 |
c.ur_st#c.expgp0 |   .0142149   .0279265     0.51   0.613    -.0418771     .070307
                 |
c.ur_st#c.expgp2 |  -.0131735   .0105312    -1.25   0.217    -.0343261    .0079791
                 |
c.ur_st#c.expgp4 |  -.0192163   .0110354    -1.74   0.088    -.0413816    .0029489
                 |
c.ur_st#c.expgp6 |  -.0128815     .01284    -1.00   0.321    -.0386713    .0129083
                 |
c.ur_st#c.expgp8 |          0  (omitted)
                 |
             dur |  -.0154835   .0092549    -1.67   0.101    -.0340726    .0031055
                 |
  c.ur0#c.expgp0 |  -.0326259   .0266317    -1.23   0.226    -.0861173    .0208655
                 |
  c.ur0#c.expgp2 |   .0117645   .0077827     1.51   0.137    -.0038675    .0273965
                 |
  c.ur0#c.expgp4 |  -.0060706   .0052826    -1.15   0.256     -.016681    .0045397
                 |
  c.ur0#c.expgp6 |   -.004144   .0032677    -1.27   0.211    -.0107074    .0024193
                 |
  c.ur0#c.expgp8 |          0  (omitted)
                 |
            dur0 |  -.0259317   .0044155    -5.87   0.000    -.0348006   -.0170628
           _cons |   10.07233   .0630019   159.87   0.000     9.945784    10.19887
----------------------------------------------------------------------------------
Starting models for variable log_pearnval_tc_r, with weight marchwgt, for education group 1
Model mB1b:  reg log_pearnval_tc_r ib10.exper ib2007.year ib1984o2000.entrycohort ib6.fipsst imr_ycs if estsampb==1 & educ2==1  [awe
> ight= marchwgt], cluster(fipsst)
(sum of wgt is 869,397,019.59)
note: 5.exper omitted because of collinearity.
note: 10b.exper identifies no observations in the sample.

Linear regression                               Number of obs     =     21,882
                                                F(49, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.3469
                                                Root MSE          =     .39979

                                (Std. err. adjusted for 51 clusters in fipsst)
------------------------------------------------------------------------------
             |               Robust
log_pearnv~r | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       exper |
          0  |  -.7816654   .0606893   -12.88   0.000    -.9035634   -.6597674
          1  |  -.5106551   .0302448   -16.88   0.000    -.5714035   -.4499067
          2  |  -.2524293   .0214584   -11.76   0.000    -.2955298   -.2093287
          3  |  -.1510699   .0136115   -11.10   0.000    -.1784094   -.1237305
          4  |  -.0651266     .00865    -7.53   0.000    -.0825005   -.0477526
          5  |          0  (omitted)
         10  |          0  (empty)
             |
        year |
       1979  |  -.0711296   .0816118    -0.87   0.388    -.2350517    .0927924
       1980  |  -.1369866    .084783    -1.62   0.112    -.3072784    .0333051
       1981  |  -.1448967   .0830316    -1.75   0.087    -.3116705    .0218771
       1982  |  -.1538969   .0736762    -2.09   0.042    -.3018798    -.005914
       1983  |  -.2227802   .0780353    -2.85   0.006    -.3795188   -.0660417
       1984  |  -.1276341   .0796261    -1.60   0.115    -.2875678    .0322996
       1985  |  -.0869566   .0774371    -1.12   0.267    -.2424936    .0685804
       1986  |  -.0527923   .0757519    -0.70   0.489    -.2049446    .0993599
       1987  |  -.0160372   .0715202    -0.22   0.823    -.1596898    .1276154
       1988  |  -.0113157   .0602259    -0.19   0.852    -.1322829    .1096515
       1989  |   .0552469   .0592293     0.93   0.355    -.0637187    .1742125
       1990  |   .0175354   .0662043     0.26   0.792    -.1154398    .1505106
       1991  |   .0266938   .0700677     0.38   0.705    -.1140413    .1674289
       1992  |   .0227335   .0566532     0.40   0.690    -.0910578    .1365248
       1993  |   .0078356    .056887     0.14   0.891    -.1064252    .1220965
       1994  |   .0253129   .0607801     0.42   0.679    -.0967676    .1473934
       1995  |  -.0141443    .058785    -0.24   0.811    -.1322174    .1039288
       1996  |   .0469255   .0561278     0.84   0.407    -.0658106    .1596615
       1997  |   .0728545   .0547083     1.33   0.189    -.0370303    .1827393
       1998  |   .1156586   .0489678     2.36   0.022     .0173039    .2140132
       1999  |   .1091439   .0526572     2.07   0.043     .0033787    .2149091
       2000  |   .1786814   .0470071     3.80   0.000     .0842648    .2730981
       2001  |   .1308214   .0468448     2.79   0.007     .0367308     .224912
       2002  |   .0839405   .0461941     1.82   0.075    -.0088431     .176724
       2003  |   .0038951   .0383624     0.10   0.920    -.0731581    .0809483
       2004  |  -.0072814   .0348239    -0.21   0.835    -.0772273    .0626646
       2005  |   .0077578   .0316957     0.24   0.808    -.0559048    .0714204
       2006  |    .020547   .0347055     0.59   0.556    -.0491611    .0902551
       2008  |  -.0116097   .0277063    -0.42   0.677    -.0672595    .0440401
       2009  |  -.1276278   .0233989    -5.45   0.000    -.1746259   -.0806297
       2010  |  -.1410877   .0268498    -5.25   0.000    -.1950171   -.0871584
       2011  |  -.1508987   .0381153    -3.96   0.000    -.2274555    -.074342
       2012  |  -.1481642   .0436949    -3.39   0.001    -.2359281   -.0604003
       2013  |  -.1362467    .055317    -2.46   0.017    -.2473542   -.0251392
       2014  |  -.0956746   .0528034    -1.81   0.076    -.2017332    .0103841
       2015  |  -.0735469   .0582238    -1.26   0.212    -.1904929     .043399
       2016  |  -.0700172   .0620583    -1.13   0.265    -.1946649    .0546305
       2017  |  -.1220159   .0703104    -1.74   0.089    -.2632384    .0192067
             |
 entrycohort |
       1974  |   -.149239   .0666175    -2.24   0.030    -.2830442   -.0154338
       1975  |   -.118072   .0658844    -1.79   0.079    -.2504046    .0142607
       1976  |  -.1425097   .0742259    -1.92   0.061    -.2915967    .0065774
       1977  |  -.1109077   .0538764    -2.06   0.045    -.2191216   -.0026939
       1978  |  -.0071597   .0487747    -0.15   0.884    -.1051265    .0908071
       1979  |  -.0113656   .0437919    -0.26   0.796    -.0993243    .0765931
       1980  |   .0239001   .0358945     0.67   0.509    -.0481961    .0959962
       1981  |  -.0175708   .0339273    -0.52   0.607    -.0857159    .0505742
       1982  |  -.0425012   .0320239    -1.33   0.190    -.1068231    .0218206
       1983  |  -.0464959   .0265975    -1.75   0.087    -.0999185    .0069267
       1985  |  -.0495904   .0252328    -1.97   0.055    -.1002719    .0010911
       1986  |  -.0588558    .030419    -1.93   0.059    -.1199542    .0022426
       1987  |  -.0935431   .0309053    -3.03   0.004    -.1556181   -.0314681
       1988  |  -.0664928   .0383548    -1.73   0.089    -.1435306     .010545
       1989  |  -.1010517   .0384158    -2.63   0.011    -.1782121   -.0238912
       1990  |  -.0988952   .0380753    -2.60   0.012    -.1753717   -.0224187
       1991  |  -.0951948   .0371385    -2.56   0.013    -.1697897   -.0205999
       1992  |  -.0967813   .0308312    -3.14   0.003    -.1587075   -.0348551
       1993  |  -.0755546   .0394432    -1.92   0.061    -.1547786    .0036695
       1994  |  -.0800772   .0393475    -2.04   0.047     -.159109   -.0010454
       1995  |  -.0287326   .0450635    -0.64   0.527    -.1192452    .0617801
       1996  |  -.0036142   .0413479    -0.09   0.931    -.0866639    .0794355
       1997  |  -.0225899   .0389561    -0.58   0.565    -.1008357    .0556558
       1998  |   -.069082   .0378493    -1.83   0.074    -.1451046    .0069406
       1999  |   .0398853   .0326173     1.22   0.227    -.0256285    .1053991
       2000  |          0  (omitted)
       2001  |   .0044337   .0394182     0.11   0.911      -.07474    .0836074
       2002  |   .0313118   .0367384     0.85   0.398    -.0424794     .105103
       2003  |   .0274962   .0504795     0.54   0.588    -.0738949    .1288873
       2004  |   .0992372   .0496798     2.00   0.051    -.0005476     .199022
       2005  |   .0992359   .0468577     2.12   0.039     .0051193    .1933524
       2006  |   .1224649   .0570405     2.15   0.037     .0078957     .237034
       2007  |   .1370827   .0545855     2.51   0.015     .0274446    .2467209
       2008  |   .1387381   .0678122     2.05   0.046     .0025333    .2749429
       2009  |   .1174494   .0798708     1.47   0.148    -.0429758    .2778747
       2010  |   .1310734   .0746729     1.76   0.085    -.0189114    .2810583
       2011  |   .1336365   .0766621     1.74   0.087    -.0203439    .2876169
       2012  |    .148866   .0817446     1.82   0.075    -.0153228    .3130548
       2013  |   .1901775   .0865827     2.20   0.033     .0162711    .3640839
       2014  |   .1954511    .100323     1.95   0.057    -.0060537    .3969559
             |
      fipsst |
         AL  |   -.096839   .0105374    -9.19   0.000     -.118004    -.075674
         AK  |   .1197663   .0036976    32.39   0.000     .1123395     .127193
         AZ  |   .0125983   .0190946     0.66   0.512    -.0257544    .0509509
         AR  |  -.0503545   .0102418    -4.92   0.000    -.0709257   -.0297834
         CO  |  -.0852154   .0174355    -4.89   0.000    -.1202357   -.0501952
         CT  |   .0661889   .0347147     1.91   0.062    -.0035375    .1359154
         DE  |  -.0780562   .0049736   -15.69   0.000     -.088046   -.0680664
         DC  |   .0604971   .0530271     1.14   0.259     -.046011    .1670052
         FL  |  -.0386044   .0128802    -3.00   0.004     -.064475   -.0127338
         GA  |   .0472583   .0036099    13.09   0.000     .0400075    .0545091
         HI  |  -.0539214   .0131736    -4.09   0.000    -.0803814   -.0274613
         ID  |   -.417312   .0291015   -14.34   0.000    -.4757641     -.35886
         IL  |   .0653488   .0162965     4.01   0.000     .0326163    .0980813
         IN  |  -.0699121   .0120002    -5.83   0.000    -.0940153   -.0458089
         IA  |  -.1434389   .0067254   -21.33   0.000    -.1569473   -.1299305
         KS  |  -.1648325   .0159035   -10.36   0.000    -.1967757   -.1328893
         KY  |  -.0832825   .0135325    -6.15   0.000    -.1104633   -.0561017
         LA  |   .0080296   .0081315     0.99   0.328    -.0083031    .0243623
         ME  |   .0064308   .0078965     0.81   0.419    -.0094298    .0222915
         MD  |  -.0734994   .0132067    -5.57   0.000    -.1000258    -.046973
         MA  |   .0135544   .0320774     0.42   0.674     -.050875    .0779838
         MI  |   .0963058   .0072609    13.26   0.000     .0817219    .1108897
         MN  |  -.0140642   .0172122    -0.82   0.418    -.0486359    .0205075
         MS  |   .0505565   .0133722     3.78   0.000     .0236975    .0774154
         MO  |  -.2294973   .0196933   -11.65   0.000    -.2690523   -.1899422
         MT  |  -.3720873   .0083415   -44.61   0.000    -.3888417    -.355333
         NE  |  -.1771116   .0091073   -19.45   0.000    -.1954042   -.1588189
         NV  |   .0254173   .0304103     0.84   0.407    -.0356637    .0864983
         NH  |   .0230854   .0153366     1.51   0.139    -.0077191    .0538899
         NJ  |   .0288222    .020108     1.43   0.158    -.0115659    .0692102
         NM  |  -.2022069   .0185429   -10.90   0.000    -.2394515   -.1649624
         NY  |  -.0127484   .0199754    -0.64   0.526    -.0528701    .0273733
         NC  |  -.1239142   .0039849   -31.10   0.000    -.1319182   -.1159103
         ND  |  -.1440472   .0156259    -9.22   0.000    -.1754327   -.1126617
         OH  |  -.0592324   .0036394   -16.28   0.000    -.0665425   -.0519224
         OK  |   .1031125   .0066034    15.62   0.000     .0898491    .1163758
         OR  |  -.2045686   .0035884   -57.01   0.000    -.2117761   -.1973611
         PA  |   .0201344   .0105437     1.91   0.062    -.0010431     .041312
         RI  |  -.1086876   .0068298   -15.91   0.000    -.1224058   -.0949695
         SC  |  -.2469621   .0098338   -25.11   0.000    -.2667139   -.2272103
         SD  |  -.1279984   .0088099   -14.53   0.000    -.1456936   -.1103032
         TN  |   .0123448   .0071114     1.74   0.089    -.0019388    .0266284
         TX  |   .0980177   .0026978    36.33   0.000     .0925991    .1034363
         UT  |  -.3686926   .0062358   -59.13   0.000    -.3812176   -.3561677
         VT  |   -.260684   .0111781   -23.32   0.000     -.283136    -.238232
         VA  |   .0557408   .0182055     3.06   0.004      .019174    .0923076
         WA  |  -.1330794   .0013147  -101.23   0.000      -.13572   -.1304389
         WV  |  -.2937063   .0320029    -9.18   0.000     -.357986   -.2294265
         WI  |  -.1116167   .0061918   -18.03   0.000    -.1240533   -.0991802
         WY  |   .0005675   .0042962     0.13   0.895    -.0080617    .0091966
             |
     imr_ycs |  -.1556537   .1219113    -1.28   0.208    -.4005198    .0892124
       _cons |   10.75202    .145813    73.74   0.000     10.45915     11.0449
------------------------------------------------------------------------------
(9,141 missing values generated)
Model mE1b:  reg log_pearnval_tc_r ib10.exper ib2007.year ib1984o2000.entrycohort ib6.fipsst imr_ycs c.ur_st#c.expgp0 c.ur_st#c.expg
> p2 c.ur_st#c.expgp4 c.ur_st#c.expgp6 c.ur_st#c.expgp8 dur c.ur0#c.expgp0 c.ur0#c.expgp2 c.ur0#c.expgp4 c.ur0#c.expgp6 c.ur0#c.expg
> p8 dur0 if estsampb==1 & educ2==1  [aweight= marchwgt], cluster(fipsst)
(sum of wgt is 869,397,019.59)
note: 5.exper omitted because of collinearity.
note: 10b.exper identifies no observations in the sample.
note: c.ur_st#c.expgp4 omitted because of collinearity.
note: c.ur_st#c.expgp6 omitted because of collinearity.
note: c.ur_st#c.expgp8 omitted because of collinearity.
note: c.ur0#c.expgp4 omitted because of collinearity.
note: c.ur0#c.expgp6 omitted because of collinearity.
note: c.ur0#c.expgp8 omitted because of collinearity.

Linear regression                               Number of obs     =     21,882
                                                F(49, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.3512
                                                Root MSE          =     .39854

                                    (Std. err. adjusted for 51 clusters in fipsst)
----------------------------------------------------------------------------------
                 |               Robust
log_pearnval_t~r | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-----------------+----------------------------------------------------------------
           exper |
              0  |  -.5822302   .1274645    -4.57   0.000    -.8382502   -.3262102
              1  |  -.2987626   .1163138    -2.57   0.013    -.5323856   -.0651395
              2  |  -.2679233   .0898066    -2.98   0.004    -.4483051   -.0875414
              3  |  -.1596352    .088384    -1.81   0.077    -.3371597    .0178893
              4  |  -.0722055   .0090958    -7.94   0.000     -.090475   -.0539361
              5  |          0  (omitted)
             10  |          0  (empty)
                 |
            year |
           1979  |   .0600705   .1025491     0.59   0.561    -.1459055    .2660465
           1980  |   .0022545   .1046326     0.02   0.983    -.2079063    .2124153
           1981  |  -.0088525   .1016251    -0.09   0.931    -.2129725    .1952674
           1982  |  -.0126527   .1055262    -0.12   0.905    -.2246083    .1993028
           1983  |  -.0940086   .0880079    -1.07   0.291    -.2707777    .0827605
           1984  |  -.0461411   .0843283    -0.55   0.587    -.2155195    .1232373
           1985  |  -.0400002   .0811356    -0.49   0.624    -.2029658    .1229655
           1986  |  -.0241692   .0740914    -0.33   0.746    -.1729862    .1246479
           1987  |  -.0059255   .0681919    -0.09   0.931    -.1428929    .1310419
           1988  |  -.0151035   .0606416    -0.25   0.804    -.1369058    .1066988
           1989  |   .0441927   .0614699     0.72   0.476    -.0792732    .1676586
           1990  |     .00807   .0675842     0.12   0.905    -.1276768    .1438168
           1991  |   .0285238   .0686643     0.42   0.680    -.1093925    .1664402
           1992  |   .0276977   .0583989     0.47   0.637    -.0895999    .1449954
           1993  |   .0011614   .0590923     0.02   0.984    -.1175288    .1198517
           1994  |   -.001826    .068039    -0.03   0.979    -.1384864    .1348344
           1995  |   -.054644   .0665935    -0.82   0.416     -.188401     .079113
           1996  |   .0033699   .0626127     0.05   0.957    -.1223914    .1291312
           1997  |   .0266108   .0585159     0.45   0.651    -.0909217    .1441434
           1998  |   .0708521     .05481     1.29   0.202     -.039237    .1809413
           1999  |   .0696765   .0548023     1.27   0.209    -.0403971      .17975
           2000  |   .1445984   .0499556     2.89   0.006     .0442596    .2449371
           2001  |   .1115902    .046593     2.39   0.020     .0180054    .2051749
           2002  |   .0843215   .0415679     2.03   0.048     .0008298    .1678131
           2003  |   .0127865   .0364705     0.35   0.727    -.0604667    .0860398
           2004  |   .0003547   .0324688     0.01   0.991    -.0648608    .0655701
           2005  |   .0100115   .0305221     0.33   0.744    -.0512939    .0713169
           2006  |   .0212096   .0339345     0.63   0.535    -.0469498    .0893691
           2008  |  -.0016134   .0311036    -0.05   0.959    -.0640869    .0608601
           2009  |  -.0882816   .0466311    -1.89   0.064     -.181943    .0053797
           2010  |  -.1049686   .0412341    -2.55   0.014    -.1877897   -.0221475
           2011  |   -.143503   .0425898    -3.37   0.001    -.2290471   -.0579588
           2012  |  -.1746444   .0417306    -4.19   0.000    -.2584628    -.090826
           2013  |  -.1910465   .0545878    -3.50   0.001    -.3006894   -.0814036
           2014  |  -.1791656   .0590234    -3.04   0.004    -.2977176   -.0606136
           2015  |  -.1735026   .0718399    -2.42   0.019    -.3177973    -.029208
           2016  |  -.1730763   .0799694    -2.16   0.035    -.3336997    -.012453
           2017  |  -.2306725    .086706    -2.66   0.010    -.4048266   -.0565184
                 |
     entrycohort |
           1974  |  -.2798685   .1024068    -2.73   0.009    -.4855585   -.0741784
           1975  |  -.2425023    .098347    -2.47   0.017    -.4400382   -.0449665
           1976  |  -.2693376   .0998702    -2.70   0.010    -.4699327   -.0687425
           1977  |  -.2294386   .0877106    -2.62   0.012    -.4056106   -.0532667
           1978  |  -.1304972   .0761549    -1.71   0.093    -.2834588    .0224645
           1979  |  -.1295708   .0702322    -1.84   0.071    -.2706363    .0114947
           1980  |  -.0542554   .0488213    -1.11   0.272    -.1523158    .0438051
           1981  |  -.0741887   .0388044    -1.91   0.062    -.1521295    .0037522
           1982  |  -.0679545   .0321451    -2.11   0.040    -.1325199    -.003389
           1983  |  -.0520809   .0266723    -1.95   0.056    -.1056538    .0014921
           1985  |  -.0392483   .0245529    -1.60   0.116    -.0885642    .0100676
           1986  |  -.0460745    .027921    -1.65   0.105    -.1021555    .0100064
           1987  |  -.0838459   .0267665    -3.13   0.003    -.1376081   -.0300838
           1988  |  -.0576341   .0397794    -1.45   0.154    -.1375334    .0222651
           1989  |  -.0863551   .0356825    -2.42   0.019    -.1580254   -.0146848
           1990  |  -.0698645   .0395968    -1.76   0.084     -.149397     .009668
           1991  |  -.0498577     .03037    -1.64   0.107    -.1108576    .0111422
           1992  |  -.0437737   .0376585    -1.16   0.251     -.119413    .0318656
           1993  |  -.0206795   .0427011    -0.48   0.630    -.1064473    .0650883
           1994  |  -.0292262   .0405261    -0.72   0.474    -.1106253    .0521728
           1995  |   .0180955    .047555     0.38   0.705    -.0774215    .1136126
           1996  |   .0365928   .0467694     0.78   0.438    -.0573463    .1305319
           1997  |    .006708   .0428162     0.16   0.876    -.0792909    .0927068
           1998  |  -.0527697   .0408325    -1.29   0.202    -.1347842    .0292448
           1999  |   .0459414   .0349072     1.32   0.194    -.0241718    .1160546
           2000  |          0  (omitted)
           2001  |   .0102261   .0380375     0.27   0.789    -.0661745    .0866266
           2002  |   .0397081   .0385596     1.03   0.308    -.0377412    .1171574
           2003  |   .0329023   .0544761     0.60   0.549    -.0765162    .1423208
           2004  |   .0958215   .0578545     1.66   0.104    -.0203826    .2120256
           2005  |   .0866489   .0546098     1.59   0.119    -.0230381    .1963358
           2006  |   .1130828   .0595412     1.90   0.063    -.0065091    .2326748
           2007  |   .1405096   .0532685     2.64   0.011     .0335166    .2475025
           2008  |    .169489   .0672144     2.52   0.015      .034485     .304493
           2009  |   .1845065   .0856334     2.15   0.036     .0125068    .3565063
           2010  |    .220021   .0864604     2.54   0.014     .0463601    .3936819
           2011  |   .2367685    .089822     2.64   0.011     .0563558    .4171813
           2012  |   .2639035   .0921923     2.86   0.006     .0787299    .4490771
           2013  |     .30931   .0986549     3.14   0.003     .1111557    .5074642
           2014  |   .3097292   .1081072     2.87   0.006     .0925894    .5268689
                 |
          fipsst |
             AL  |  -.0876252   .0150186    -5.83   0.000     -.117791   -.0574593
             AK  |   .1655315   .0208688     7.93   0.000     .1236152    .2074477
             AZ  |  -.0161748   .0229572    -0.70   0.484    -.0622857    .0299361
             AR  |   -.063997    .013426    -4.77   0.000    -.0909639     -.03703
             CO  |  -.1320456    .023665    -5.58   0.000    -.1795781   -.0845132
             CT  |   .0318367   .0330656     0.96   0.340    -.0345776     .098251
             DE  |  -.0888484   .0073072   -12.16   0.000    -.1035254   -.0741714
             DC  |   .0882779   .0534158     1.65   0.105    -.0190109    .1955667
             FL  |  -.0548309    .014532    -3.77   0.000    -.0840193   -.0256424
             GA  |    .015091   .0113112     1.33   0.188    -.0076283    .0378103
             HI  |  -.0710397   .0143112    -4.96   0.000    -.0997846   -.0422948
             ID  |  -.4500915   .0312426   -14.41   0.000    -.5128442   -.3873389
             IL  |   .0464303   .0185559     2.50   0.016     .0091596     .083701
             IN  |  -.0882123   .0194592    -4.53   0.000    -.1272973   -.0491273
             IA  |  -.2153605   .0257283    -8.37   0.000    -.2670374   -.1636837
             KS  |    -.25172   .0343636    -7.33   0.000    -.3207413   -.1826987
             KY  |  -.1106389   .0175456    -6.31   0.000    -.1458802   -.0753976
             LA  |   .0102241   .0103542     0.99   0.328    -.0105728    .0310211
             ME  |   .0039521   .0091423     0.43   0.667    -.0144108     .022315
             MD  |  -.1060602   .0171222    -6.19   0.000    -.1404511   -.0716692
             MA  |  -.0121483   .0306522    -0.40   0.694    -.0737151    .0494186
             MI  |   .1228611   .0135764     9.05   0.000     .0955921    .1501301
             MN  |  -.0807025   .0250789    -3.22   0.002    -.1310749   -.0303302
             MS  |   .0411446   .0139261     2.95   0.005     .0131732     .069116
             MO  |  -.2681015   .0232393   -11.54   0.000    -.3147791    -.221424
             MT  |   -.408089   .0168541   -24.21   0.000    -.4419415   -.3742366
             NE  |  -.2822939   .0349813    -8.07   0.000    -.3525559   -.2120319
             NV  |  -.0078358   .0332103    -0.24   0.814    -.0745407    .0588691
             NH  |  -.0556841   .0276407    -2.01   0.049    -.1112021   -.0001661
             NJ  |   .0340639   .0188104     1.81   0.076    -.0037179    .0718456
             NM  |   -.211832   .0193877   -10.93   0.000    -.2507733   -.1728906
             NY  |   .0031531   .0201139     0.16   0.876    -.0372468     .043553
             NC  |  -.1692582   .0166964   -10.14   0.000    -.2027938   -.1357226
             ND  |  -.2207143    .029698    -7.43   0.000    -.2803645   -.1610641
             OH  |  -.0773933   .0093881    -8.24   0.000    -.0962499   -.0585367
             OK  |   .0199852   .0266468     0.75   0.457    -.0335364    .0735068
             OR  |  -.2032688   .0078602   -25.86   0.000    -.2190564   -.1874811
             PA  |     .02353   .0127555     1.84   0.071    -.0020901    .0491501
             RI  |  -.1175652   .0083078   -14.15   0.000     -.134252   -.1008784
             SC  |  -.2808199    .014981   -18.75   0.000    -.3109101   -.2507297
             SD  |  -.2210848   .0342288    -6.46   0.000    -.2898353   -.1523342
             TN  |  -.0102996   .0140295    -0.73   0.466    -.0384786    .0178794
             TX  |   .0475691   .0178284     2.67   0.010     .0117597    .0833785
             UT  |  -.4317512   .0243019   -17.77   0.000    -.4805631   -.3829393
             VT  |  -.3054301   .0180082   -16.96   0.000    -.3416005   -.2692597
             VA  |  -.0006875   .0269467    -0.03   0.980    -.0548116    .0534366
             WA  |  -.1321384    .003475   -38.03   0.000    -.1391181   -.1251587
             WV  |  -.2899679   .0319699    -9.07   0.000    -.3541814   -.2257544
             WI  |   -.165104   .0189454    -8.71   0.000    -.2031569    -.127051
             WY  |  -.0971948   .0311271    -3.12   0.003    -.1597155   -.0346741
                 |
         imr_ycs |  -.1420427   .1186821    -1.20   0.237    -.3804226    .0963372
                 |
c.ur_st#c.expgp0 |   -.021215   .0320498    -0.66   0.511     -.085589     .043159
                 |
c.ur_st#c.expgp2 |  -.0064016   .0151213    -0.42   0.674    -.0367735    .0239703
                 |
c.ur_st#c.expgp4 |          0  (omitted)
                 |
c.ur_st#c.expgp6 |          0  (omitted)
                 |
c.ur_st#c.expgp8 |          0  (omitted)
                 |
             dur |   -.004865   .0117632    -0.41   0.681    -.0284921    .0187621
                 |
  c.ur0#c.expgp0 |   -.016607   .0250688    -0.66   0.511    -.0669591     .033745
                 |
  c.ur0#c.expgp2 |   .0052492   .0094904     0.55   0.583    -.0138129    .0243113
                 |
  c.ur0#c.expgp4 |          0  (omitted)
                 |
  c.ur0#c.expgp6 |          0  (omitted)
                 |
  c.ur0#c.expgp8 |          0  (omitted)
                 |
            dur0 |  -.0150156   .0089207    -1.68   0.099    -.0329334    .0029023
           _cons |   10.75379   .1429399    75.23   0.000     10.46668    11.04089
----------------------------------------------------------------------------------
Starting models for variable rw_l, with weight orgwgt, for education group 0
Model mB0b:  reg rw_l ib10.exper ib2007.year ib1984o2000.entrycohort ib6.fipsst imr_ycs if estsampb==1 & educ2==0  [aweight= orgwgt]
> , cluster(fipsst)
(sum of wgt is 3,340,668,914.172)
note: 9.exper omitted because of collinearity.
note: 10b.exper identifies no observations in the sample.

Linear regression                               Number of obs     =     32,760
                                                F(49, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.6557
                                                Root MSE          =     .10656

                                (Std. err. adjusted for 51 clusters in fipsst)
------------------------------------------------------------------------------
             |               Robust
        rw_l | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       exper |
          0  |   -.436872   .0170649   -25.60   0.000    -.4711478   -.4025962
          1  |   -.366865   .0146169   -25.10   0.000    -.3962239   -.3375061
          2  |  -.3090463    .012087   -25.57   0.000    -.3333238   -.2847688
          3  |  -.2650517   .0095424   -27.78   0.000    -.2842182   -.2458852
          4  |   -.223105   .0057946   -38.50   0.000    -.2347438   -.2114661
          5  |  -.1765383   .0042179   -41.85   0.000    -.1850101   -.1680665
          6  |   -.143457   .0035045   -40.93   0.000     -.150496    -.136418
          7  |  -.0574914   .0026859   -21.41   0.000    -.0628861   -.0520968
          8  |  -.0278894   .0016345   -17.06   0.000    -.0311724   -.0246064
          9  |          0  (omitted)
         10  |          0  (empty)
             |
        year |
       1979  |   .1598327   .0168701     9.47   0.000      .125948    .1937174
       1980  |   .1069514   .0159101     6.72   0.000     .0749951    .1389077
       1981  |   .0698099   .0159896     4.37   0.000     .0376937     .101926
       1982  |   .0382152   .0149508     2.56   0.014     .0081857    .0682448
       1983  |    .018425    .012585     1.46   0.149    -.0068526    .0437026
       1984  |   .0070444   .0118877     0.59   0.556    -.0168326    .0309215
       1985  |  -.0010589   .0106239    -0.10   0.921    -.0223976    .0202798
       1986  |   .0104504   .0096908     1.08   0.286    -.0090142     .029915
       1987  |   .0134361   .0106359     1.26   0.212    -.0079267    .0347989
       1988  |   .0079817   .0125281     0.64   0.527    -.0171816    .0331451
       1989  |  -.0052683   .0126668    -0.42   0.679    -.0307103    .0201736
       1990  |  -.0155106   .0118113    -1.31   0.195    -.0392342     .008213
       1991  |  -.0260329   .0109497    -2.38   0.021    -.0480261   -.0040398
       1992  |  -.0427193   .0103506    -4.13   0.000    -.0635092   -.0219295
       1993  |  -.0545819   .0095329    -5.73   0.000    -.0737294   -.0354345
       1994  |  -.0449905   .0109138    -4.12   0.000    -.0669115   -.0230696
       1995  |  -.0468256   .0109753    -4.27   0.000    -.0688702    -.024781
       1996  |  -.0582778   .0126549    -4.61   0.000    -.0836959   -.0328598
       1997  |   -.044485   .0126296    -3.52   0.001    -.0698523   -.0191177
       1998  |  -.0004279   .0110257    -0.04   0.969    -.0225735    .0217178
       1999  |   .0212549   .0122003     1.74   0.088    -.0032501    .0457598
       2000  |   .0399409   .0101287     3.94   0.000     .0195969    .0602849
       2001  |   .0487622   .0093922     5.19   0.000     .0298973    .0676271
       2002  |   .0451806   .0081365     5.55   0.000     .0288379    .0615233
       2003  |   .0328982   .0080229     4.10   0.000     .0167837    .0490127
       2004  |   .0081448   .0073032     1.12   0.270    -.0065241    .0228138
       2005  |  -.0030765   .0066238    -0.46   0.644    -.0163808    .0102279
       2006  |  -.0058064   .0051728    -1.12   0.267    -.0161962    .0045834
       2008  |  -.0122064   .0052121    -2.34   0.023    -.0226752   -.0017376
       2009  |  -.0165114   .0042493    -3.89   0.000    -.0250463   -.0079765
       2010  |  -.0319234   .0063782    -5.01   0.000    -.0447344   -.0191124
       2011  |  -.0611574   .0073178    -8.36   0.000    -.0758556   -.0464593
       2012  |    -.08299   .0092374    -8.98   0.000    -.1015438   -.0644362
       2013  |  -.0902638   .0108069    -8.35   0.000    -.1119701   -.0685575
       2014  |  -.0807157   .0120897    -6.68   0.000    -.1049986   -.0564328
       2015  |  -.0669994   .0127684    -5.25   0.000    -.0926454   -.0413534
       2016  |  -.0474165   .0139233    -3.41   0.001    -.0753823   -.0194508
       2017  |  -.0329434   .0128374    -2.57   0.013    -.0587281   -.0071586
       2018  |  -.0248507   .0135283    -1.84   0.072    -.0520232    .0023217
       2019  |  -.0047887   .0127825    -0.37   0.710     -.030463    .0208857
             |
 entrycohort |
       1970  |  -.0101803   .0179021    -0.57   0.572    -.0461377    .0257771
       1971  |  -.0047059   .0169336    -0.28   0.782    -.0387181    .0293062
       1972  |  -.0001746   .0149377    -0.01   0.991    -.0301778    .0298287
       1973  |   .0269972   .0143191     1.89   0.065    -.0017635     .055758
       1974  |   .0275306   .0138223     1.99   0.052    -.0002324    .0552935
       1975  |   .0404871    .013326     3.04   0.004     .0137211    .0672532
       1976  |   .0418939   .0136851     3.06   0.004     .0144067    .0693812
       1977  |   .0443676   .0123506     3.59   0.001     .0195606    .0691746
       1978  |   .0354664   .0112493     3.15   0.003     .0128715    .0580612
       1979  |   .0283805   .0102517     2.77   0.008     .0077894    .0489716
       1980  |   .0194555   .0090021     2.16   0.035     .0013742    .0375368
       1981  |   .0123039   .0069927     1.76   0.085    -.0017414    .0263491
       1982  |   .0025396   .0049538     0.51   0.610    -.0074105    .0124896
       1983  |  -.0001226   .0044734    -0.03   0.978    -.0091076    .0088625
       1985  |  -.0011918   .0041279    -0.29   0.774    -.0094829    .0070994
       1986  |  -.0075756   .0043281    -1.75   0.086     -.016269    .0011177
       1987  |  -.0013053   .0044223    -0.30   0.769    -.0101878    .0075771
       1988  |   -.009152   .0052285    -1.75   0.086    -.0196538    .0013498
       1989  |  -.0049825   .0042018    -1.19   0.241     -.013422    .0034571
       1990  |  -.0154962   .0051643    -3.00   0.004     -.025869   -.0051235
       1991  |  -.0201285   .0047896    -4.20   0.000    -.0297487   -.0105083
       1992  |   -.017203    .004464    -3.85   0.000    -.0261693   -.0082368
       1993  |  -.0094633   .0038645    -2.45   0.018    -.0172254   -.0017012
       1994  |  -.0085425   .0036317    -2.35   0.023     -.015837    -.001248
       1995  |  -.0023207   .0035904    -0.65   0.521    -.0095322    .0048909
       1996  |    .004489   .0036474     1.23   0.224     -.002837    .0118149
       1997  |  -.0000287   .0032677    -0.01   0.993    -.0065921    .0065346
       1998  |   .0018221   .0034393     0.53   0.599    -.0050859    .0087301
       1999  |  -.0015142   .0037594    -0.40   0.689    -.0090653    .0060368
       2000  |          0  (omitted)
       2001  |   .0025592   .0040005     0.64   0.525    -.0054759    .0105944
       2002  |   .0095262   .0039838     2.39   0.021     .0015246    .0175278
       2003  |   .0158875   .0045627     3.48   0.001      .006723    .0250519
       2004  |   .0178921   .0058958     3.03   0.004     .0060501    .0297341
       2005  |   .0178247   .0064935     2.75   0.008     .0047821    .0308674
       2006  |   .0086668   .0060601     1.43   0.159    -.0035053    .0208389
       2007  |   .0061512   .0074767     0.82   0.415    -.0088662    .0211686
       2008  |   .0117385   .0078651     1.49   0.142    -.0040591    .0275361
       2009  |   .0219231   .0087849     2.50   0.016     .0042781     .039568
       2010  |   .0276829   .0094146     2.94   0.005      .008773    .0465927
       2011  |   .0309894   .0103883     2.98   0.004      .010124    .0518548
       2012  |   .0458048   .0103567     4.42   0.000     .0250028    .0666068
       2013  |   .0543762    .011805     4.61   0.000      .030665    .0780873
       2014  |   .0605545   .0115118     5.26   0.000     .0374323    .0836767
             |
      fipsst |
         AL  |  -.1497504   .0010287  -145.57   0.000    -.1518166   -.1476842
         AK  |   .1782914   .0010844   164.42   0.000     .1761133    .1804695
         AZ  |  -.0615083   .0011179   -55.02   0.000    -.0637535    -.059263
         AR  |  -.1572045    .001117  -140.74   0.000     -.159448    -.154961
         CO  |  -.0142646   .0007934   -17.98   0.000    -.0158583   -.0126709
         CT  |   .0331675   .0015403    21.53   0.000     .0300736    .0362614
         DE  |  -.0374842   .0005468   -68.55   0.000    -.0385825   -.0363859
         DC  |   -.027548   .0028119    -9.80   0.000     -.033196   -.0219001
         FL  |  -.0811463   .0003033  -267.58   0.000    -.0817555   -.0805372
         GA  |  -.0978196   .0005238  -186.75   0.000    -.0988716   -.0967675
         HI  |  -.0219996   .0006569   -33.49   0.000    -.0233191   -.0206802
         ID  |  -.1049374   .0015801   -66.41   0.000    -.1081111   -.1017637
         IL  |  -.0299287    .000896   -33.40   0.000    -.0317283   -.0281291
         IN  |  -.0805001   .0011864   -67.85   0.000    -.0828831    -.078117
         IA  |  -.0771856   .0007172  -107.63   0.000     -.078626   -.0757451
         KS  |  -.0902668   .0006382  -141.43   0.000    -.0915487   -.0889848
         KY  |  -.1321869   .0009966  -132.64   0.000    -.1341886   -.1301853
         LA  |  -.1230362   .0008773  -140.25   0.000    -.1247982   -.1212741
         ME  |  -.0842936   .0008181  -103.04   0.000    -.0859368   -.0826505
         MD  |  -.0041232   .0011321    -3.64   0.001    -.0063971   -.0018493
         MA  |   .0187097   .0017189    10.88   0.000     .0152572    .0221623
         MI  |  -.0512798   .0007363   -69.64   0.000    -.0527588   -.0498008
         MN  |  -.0108012   .0006161   -17.53   0.000    -.0120386   -.0095637
         MS  |  -.1701816    .001234  -137.91   0.000    -.1726601    -.167703
         MO  |  -.0878169   .0005945  -147.72   0.000    -.0890109   -.0866228
         MT  |  -.1228086   .0009131  -134.50   0.000    -.1246425   -.1209747
         NE  |  -.0956067   .0007106  -134.54   0.000     -.097034   -.0941793
         NV  |   .0148039   .0017088     8.66   0.000     .0113718     .018236
         NH  |   -.005099   .0007198    -7.08   0.000    -.0065447   -.0036532
         NJ  |   .0087452   .0012525     6.98   0.000     .0062295    .0112608
         NM  |  -.1364393   .0010076  -135.41   0.000    -.1384632   -.1344154
         NY  |  -.0411977   .0013458   -30.61   0.000    -.0439008   -.0384945
         NC  |  -.1196546   .0004262  -280.74   0.000    -.1205107   -.1187985
         ND  |  -.0917854   .0007941  -115.59   0.000    -.0933803   -.0901905
         OH  |  -.0762921   .0005802  -131.50   0.000    -.0774574   -.0751268
         OK  |  -.1080118   .0006774  -159.44   0.000    -.1093724   -.1066511
         OR  |  -.0458381   .0008655   -52.96   0.000    -.0475764   -.0440997
         PA  |  -.0597991   .0007097   -84.27   0.000    -.0612244   -.0583737
         RI  |  -.0435383   .0009849   -44.21   0.000    -.0455165   -.0415601
         SC  |  -.1305511   .0006871  -190.00   0.000    -.1319312   -.1291711
         SD  |  -.1332971   .0006271  -212.55   0.000    -.1345567   -.1320374
         TN  |  -.1304208   .0005903  -220.93   0.000    -.1316065   -.1292351
         TX  |  -.1009142   .0004148  -243.31   0.000    -.1017473   -.1000811
         UT  |  -.0360017    .001163   -30.96   0.000    -.0383376   -.0336658
         VT  |  -.0700435   .0010355   -67.64   0.000    -.0721234   -.0679636
         VA  |  -.0683789   .0009256   -73.88   0.000     -.070238   -.0665198
         WA  |    .025472   .0007414    34.35   0.000     .0239827    .0269612
         WV  |  -.1627366   .0014739  -110.41   0.000    -.1656971   -.1597761
         WI  |  -.0559625    .000613   -91.29   0.000    -.0571938   -.0547312
         WY  |  -.0268425   .0012447   -21.57   0.000    -.0293425   -.0243425
             |
     imr_ycs |  -.0156061   .0058662    -2.66   0.010    -.0273887   -.0038234
       _cons |   2.653568   .0094741   280.09   0.000     2.634539    2.672598
------------------------------------------------------------------------------
(9,141 missing values generated)
Model mE0b:  reg rw_l ib10.exper ib2007.year ib1984o2000.entrycohort ib6.fipsst imr_ycs c.ur_st#c.expgp0 c.ur_st#c.expgp2 c.ur_st#c.
> expgp4 c.ur_st#c.expgp6 c.ur_st#c.expgp8 dur c.ur0#c.expgp0 c.ur0#c.expgp2 c.ur0#c.expgp4 c.ur0#c.expgp6 c.ur0#c.expgp8 dur0 if es
> tsampb==1 & educ2==0  [aweight= orgwgt], cluster(fipsst)
(sum of wgt is 3,340,668,914.172)
note: 9.exper omitted because of collinearity.
note: 10b.exper identifies no observations in the sample.
note: c.ur_st#c.expgp8 omitted because of collinearity.
note: c.ur0#c.expgp8 omitted because of collinearity.

Linear regression                               Number of obs     =     32,760
                                                F(49, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.6654
                                                Root MSE          =     .10506

                                    (Std. err. adjusted for 51 clusters in fipsst)
----------------------------------------------------------------------------------
                 |               Robust
            rw_l | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-----------------+----------------------------------------------------------------
           exper |
              0  |  -.4525534   .0229148   -19.75   0.000    -.4985792   -.4065276
              1  |  -.3807832   .0227446   -16.74   0.000    -.4264671   -.3350993
              2  |  -.3008602   .0159957   -18.81   0.000    -.3329884    -.268732
              3  |  -.2568132   .0144613   -17.76   0.000    -.2858594   -.2277669
              4  |  -.2137113    .010534   -20.29   0.000    -.2348694   -.1925532
              5  |  -.1674172   .0104283   -16.05   0.000    -.1883631   -.1464713
              6  |  -.1431094   .0081286   -17.61   0.000    -.1594361   -.1267827
              7  |  -.0571148   .0078118    -7.31   0.000    -.0728053   -.0414244
              8  |  -.0280292     .00189   -14.83   0.000    -.0318254   -.0242331
              9  |          0  (omitted)
             10  |          0  (empty)
                 |
            year |
           1979  |   .1600652   .0252966     6.33   0.000     .1092555    .2108749
           1980  |   .1037839   .0244424     4.25   0.000       .05469    .1528779
           1981  |   .0655416   .0235986     2.78   0.008     .0181425    .1129407
           1982  |   .0307751   .0214981     1.43   0.159     -.012405    .0739552
           1983  |   .0138309   .0198258     0.70   0.489    -.0259903    .0536522
           1984  |   .0070791   .0166423     0.43   0.672     -.026348    .0405061
           1985  |   .0003351   .0140965     0.02   0.981    -.0279784    .0286487
           1986  |   .0131005   .0130631     1.00   0.321    -.0131376    .0393386
           1987  |    .015895    .011511     1.38   0.173    -.0072256    .0390157
           1988  |   .0114888    .011514     1.00   0.323    -.0116379    .0346154
           1989  |  -.0032394   .0117592    -0.28   0.784    -.0268584    .0203797
           1990  |  -.0143982   .0114349    -1.26   0.214    -.0373658    .0085695
           1991  |  -.0265391   .0113027    -2.35   0.023    -.0492411   -.0038371
           1992  |  -.0434158   .0112794    -3.85   0.000    -.0660712   -.0207605
           1993  |  -.0520888   .0103726    -5.02   0.000    -.0729227   -.0312548
           1994  |  -.0404867   .0104913    -3.86   0.000    -.0615592   -.0194143
           1995  |  -.0414551   .0096113    -4.31   0.000    -.0607599   -.0221503
           1996  |  -.0531051   .0114618    -4.63   0.000    -.0761268   -.0300835
           1997  |  -.0395882   .0108915    -3.63   0.001    -.0614644   -.0177121
           1998  |    .002304   .0095688     0.24   0.811    -.0169155    .0215234
           1999  |   .0236146   .0108263     2.18   0.034     .0018693    .0453598
           2000  |   .0408052   .0087698     4.65   0.000     .0231906    .0584198
           2001  |   .0469197   .0087827     5.34   0.000     .0292792    .0645602
           2002  |   .0410382   .0075825     5.41   0.000     .0258083    .0562682
           2003  |   .0284323   .0081076     3.51   0.001     .0121478    .0447168
           2004  |   .0053426   .0073846     0.72   0.473    -.0094898     .020175
           2005  |  -.0048836   .0070637    -0.69   0.493    -.0190715    .0093044
           2006  |  -.0060285   .0057863    -1.04   0.302    -.0176506    .0055936
           2008  |  -.0147685   .0056016    -2.64   0.011    -.0260196   -.0035174
           2009  |  -.0245349   .0051335    -4.78   0.000    -.0348459   -.0142239
           2010  |  -.0390874   .0068436    -5.71   0.000    -.0528331   -.0253417
           2011  |  -.0645894   .0058752   -10.99   0.000      -.07639   -.0527888
           2012  |  -.0838532   .0070096   -11.96   0.000    -.0979325   -.0697739
           2013  |  -.0900569   .0091234    -9.87   0.000    -.1083819    -.071732
           2014  |  -.0784443   .0105275    -7.45   0.000    -.0995895   -.0572991
           2015  |  -.0648976   .0125612    -5.17   0.000    -.0901275   -.0396676
           2016  |  -.0469158   .0145453    -3.23   0.002    -.0761309   -.0177006
           2017  |  -.0346016   .0138283    -2.50   0.016    -.0623765   -.0068267
           2018  |  -.0283298    .014714    -1.93   0.060    -.0578838    .0012242
           2019  |  -.0097444   .0142163    -0.69   0.496    -.0382987    .0188099
                 |
     entrycohort |
           1970  |  -.0114234   .0236211    -0.48   0.631    -.0588678    .0360211
           1971  |  -.0035812   .0222728    -0.16   0.873    -.0483175    .0411551
           1972  |   .0018373   .0193324     0.10   0.925    -.0369929    .0406676
           1973  |   .0298151   .0184009     1.62   0.111    -.0071441    .0667743
           1974  |    .030643    .018974     1.62   0.113    -.0074673    .0687534
           1975  |   .0455695   .0181188     2.52   0.015     .0091769    .0819622
           1976  |   .0451007   .0199081     2.27   0.028     .0051141    .0850874
           1977  |   .0452081   .0179487     2.52   0.015     .0091571    .0812591
           1978  |   .0340281   .0159113     2.14   0.037     .0020692    .0659869
           1979  |   .0247047   .0136187     1.81   0.076    -.0026492    .0520586
           1980  |   .0169733   .0092891     1.83   0.074    -.0016845    .0356312
           1981  |   .0102936   .0070026     1.47   0.148    -.0037716    .0243587
           1982  |   .0041079   .0044622     0.92   0.362    -.0048548    .0130706
           1983  |   .0055948   .0049398     1.13   0.263     -.004327    .0155166
           1985  |  -.0020885   .0041194    -0.51   0.614    -.0103625    .0061855
           1986  |   -.009012   .0040533    -2.22   0.031    -.0171533   -.0008707
           1987  |  -.0048333   .0061898    -0.78   0.439    -.0172658    .0075993
           1988  |  -.0142813    .004899    -2.92   0.005    -.0241213   -.0044413
           1989  |  -.0098331   .0059296    -1.66   0.104    -.0217431    .0020769
           1990  |  -.0211726   .0070475    -3.00   0.004    -.0353279   -.0070172
           1991  |  -.0217928   .0057311    -3.80   0.000     -.033304   -.0102816
           1992  |  -.0163641   .0052154    -3.14   0.003    -.0268397   -.0058886
           1993  |  -.0066007   .0052191    -1.26   0.212    -.0170835    .0038821
           1994  |  -.0061342    .004459    -1.38   0.175    -.0150904    .0028219
           1995  |  -3.20e-06   .0048911    -0.00   0.999    -.0098273    .0098209
           1996  |    .007399   .0050341     1.47   0.148    -.0027124    .0175104
           1997  |     .00255   .0033143     0.77   0.445     -.004107     .009207
           1998  |   .0034841   .0043821     0.80   0.430    -.0053177    .0122859
           1999  |  -.0007761   .0038261    -0.20   0.840    -.0084612    .0069089
           2000  |          0  (omitted)
           2001  |   .0049655   .0041078     1.21   0.232    -.0032851    .0132162
           2002  |   .0136881    .004968     2.76   0.008     .0037095    .0236667
           2003  |   .0201435    .004955     4.07   0.000      .010191     .030096
           2004  |   .0206485   .0058198     3.55   0.001     .0089591    .0323378
           2005  |   .0183596   .0061182     3.00   0.004     .0060708    .0306485
           2006  |   .0065963   .0064147     1.03   0.309    -.0062881    .0194806
           2007  |   .0024664   .0094978     0.26   0.796    -.0166106    .0215433
           2008  |    .007614   .0109737     0.69   0.491    -.0144274    .0296554
           2009  |   .0268438   .0142134     1.89   0.065    -.0017046    .0553922
           2010  |   .0353518   .0146099     2.42   0.019     .0060069    .0646968
           2011  |   .0397468   .0151184     2.63   0.011     .0093806     .070113
           2012  |   .0526657   .0145498     3.62   0.001     .0234416    .0818898
           2013  |   .0614371   .0156549     3.92   0.000     .0299934    .0928808
           2014  |   .0656795   .0134141     4.90   0.000     .0387364    .0926225
                 |
          fipsst |
             AL  |  -.1492188   .0012531  -119.08   0.000    -.1517356   -.1467019
             AK  |   .1905531   .0022007    86.59   0.000     .1861328    .1949733
             AZ  |  -.0844103   .0025386   -33.25   0.000    -.0895093   -.0793114
             AR  |  -.1735204   .0021071   -82.35   0.000    -.1777526   -.1692882
             CO  |  -.0572218    .005198   -11.01   0.000    -.0676623   -.0467813
             CT  |  -.0117844    .005699    -2.07   0.044    -.0232312   -.0003376
             DE  |  -.0815432   .0055823   -14.61   0.000    -.0927556   -.0703307
             DC  |  -.0222564   .0026665    -8.35   0.000    -.0276121   -.0169006
             FL  |  -.1066029   .0031089   -34.29   0.000    -.1128472   -.1003586
             GA  |  -.1261837   .0032712   -38.57   0.000    -.1327541   -.1196133
             HI  |  -.0789135   .0071347   -11.06   0.000     -.093244   -.0645829
             ID  |   -.134532   .0037825   -35.57   0.000    -.1421294   -.1269345
             IL  |  -.0373622   .0010649   -35.08   0.000    -.0395012   -.0352232
             IN  |  -.1027926   .0028065   -36.63   0.000    -.1084297   -.0971555
             IA  |  -.1368734   .0074954   -18.26   0.000    -.1519284   -.1218184
             KS  |  -.1508025   .0074629   -20.21   0.000    -.1657922   -.1358128
             KY  |  -.1420474   .0012586  -112.87   0.000    -.1445753   -.1395195
             LA  |  -.1222334    .001208  -101.18   0.000    -.1246598    -.119807
             ME  |  -.1179171   .0042853   -27.52   0.000    -.1265244   -.1093098
             MD  |  -.0515555   .0058565    -8.80   0.000    -.0633187   -.0397924
             MA  |  -.0248011   .0056498    -4.39   0.000     -.036149   -.0134532
             MI  |  -.0316258   .0025598   -12.36   0.000    -.0367673   -.0264844
             MN  |   -.064821   .0067126    -9.66   0.000    -.0783036   -.0513383
             MS  |  -.1628887   .0020207   -80.61   0.000    -.1669474   -.1588299
             MO  |  -.1175556   .0035865   -32.78   0.000    -.1247593   -.1103519
             MT  |  -.1574696   .0044497   -35.39   0.000     -.166407   -.1485322
             NE  |  -.1814707   .0106413   -17.05   0.000    -.2028444    -.160097
             NV  |   .0031494   .0016164     1.95   0.057    -.0000971    .0063959
             NH  |  -.0743605   .0086271    -8.62   0.000    -.0916886   -.0570324
             NJ  |  -.0166801   .0034403    -4.85   0.000    -.0235901     -.00977
             NM  |  -.1525044   .0017666   -86.33   0.000    -.1560528   -.1489561
             NY  |  -.0604226   .0027515   -21.96   0.000    -.0659491   -.0548961
             NC  |   -.151708   .0037594   -40.35   0.000    -.1592589    -.144157
             ND  |   -.170051   .0100833   -16.86   0.000    -.1903038   -.1497982
             OH  |   -.087142   .0014282   -61.02   0.000    -.0900106   -.0842733
             OK  |  -.1588621   .0062503   -25.42   0.000    -.1714161    -.146308
             OR  |  -.0494256   .0010064   -49.11   0.000     -.051447   -.0474042
             PA  |  -.0782989   .0023495   -33.33   0.000     -.083018   -.0735798
             RI  |  -.0641778   .0026355   -24.35   0.000    -.0694714   -.0588842
             SC  |    -.14701   .0019228   -76.46   0.000    -.1508721    -.143148
             SD  |  -.2155859   .0104472   -20.64   0.000    -.2365698    -.194602
             TN  |  -.1490397   .0021632   -68.90   0.000    -.1533847   -.1446947
             TX  |  -.1308734   .0034827   -37.58   0.000    -.1378687   -.1238782
             UT  |  -.0910944   .0067876   -13.42   0.000    -.1047278    -.077461
             VT  |  -.1296349   .0077703   -16.68   0.000     -.145242   -.1140277
             VA  |  -.1276826   .0072679   -17.57   0.000    -.1422806   -.1130846
             WA  |   .0185626   .0008886    20.89   0.000     .0167779    .0203473
             WV  |   -.137464   .0042244   -32.54   0.000     -.145949    -.128979
             WI  |  -.0943209   .0046989   -20.07   0.000    -.1037589   -.0848829
             WY  |  -.0831746   .0071255   -11.67   0.000    -.0974865   -.0688627
                 |
         imr_ycs |  -.0165611   .0050943    -3.25   0.002    -.0267933   -.0063289
                 |
c.ur_st#c.expgp0 |   .0091312   .0029585     3.09   0.003     .0031888    .0150735
                 |
c.ur_st#c.expgp2 |   .0031496    .001817     1.73   0.089    -.0004999    .0067991
                 |
c.ur_st#c.expgp4 |   .0012752   .0012232     1.04   0.302    -.0011815     .003732
                 |
c.ur_st#c.expgp6 |    .000786   .0007385     1.06   0.292    -.0006972    .0022693
                 |
c.ur_st#c.expgp8 |          0  (omitted)
                 |
             dur |  -.0102147   .0028662    -3.56   0.001    -.0159716   -.0044579
                 |
  c.ur0#c.expgp0 |  -.0068166   .0025824    -2.64   0.011    -.0120035   -.0016297
                 |
  c.ur0#c.expgp2 |   -.004228    .001742    -2.43   0.019    -.0077269   -.0007292
                 |
  c.ur0#c.expgp4 |  -.0026698   .0013292    -2.01   0.050    -.0053395   -8.63e-08
                 |
  c.ur0#c.expgp6 |  -.0008692    .000773    -1.12   0.266    -.0024217    .0006834
                 |
  c.ur0#c.expgp8 |          0  (omitted)
                 |
            dur0 |  -.0127472   .0016056    -7.94   0.000    -.0159721   -.0095223
           _cons |   2.676666   .0094166   284.25   0.000     2.657752     2.69558
----------------------------------------------------------------------------------
Starting models for variable rw_l, with weight orgwgt, for education group 1
Model mB1b:  reg rw_l ib10.exper ib2007.year ib1984o2000.entrycohort ib6.fipsst imr_ycs if estsampb==1 & educ2==1  [aweight= orgwgt]
> , cluster(fipsst)
(sum of wgt is 636,268,244.16076)
note: 5.exper omitted because of collinearity.
note: 10b.exper identifies no observations in the sample.

Linear regression                               Number of obs     =     23,056
                                                F(49, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.4935
                                                Root MSE          =     .14855

                                (Std. err. adjusted for 51 clusters in fipsst)
------------------------------------------------------------------------------
             |               Robust
        rw_l | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       exper |
          0  |  -.3294005   .0131358   -25.08   0.000    -.3557845   -.3030166
          1  |  -.2700371   .0089497   -30.17   0.000    -.2880132   -.2520611
          2  |  -.2140616   .0073593   -29.09   0.000    -.2288432     -.19928
          3  |  -.0862037      .0056   -15.39   0.000    -.0974517   -.0749557
          4  |  -.0401105   .0033116   -12.11   0.000    -.0467621   -.0334589
          5  |          0  (omitted)
         10  |          0  (empty)
             |
        year |
       1979  |  -.0089142   .0263665    -0.34   0.737    -.0618728    .0440445
       1980  |  -.0542534   .0237925    -2.28   0.027     -.102042   -.0064648
       1981  |  -.0856525   .0240052    -3.57   0.001    -.1338684   -.0374365
       1982  |  -.1015966    .025303    -4.02   0.000    -.1524192   -.0507739
       1983  |  -.1123339    .024258    -4.63   0.000    -.1610574   -.0636103
       1984  |  -.1033996    .020211    -5.12   0.000    -.1439946   -.0628045
       1985  |    -.08501   .0219391    -3.87   0.000     -.129076   -.0409439
       1986  |  -.0734633   .0162832    -4.51   0.000    -.1061691   -.0407575
       1987  |  -.0650961   .0175275    -3.71   0.001    -.1003011   -.0298911
       1988  |  -.0790682   .0183659    -4.31   0.000    -.1159572   -.0421793
       1989  |   -.074436   .0179417    -4.15   0.000    -.1104729    -.038399
       1990  |  -.0722382   .0183718    -3.93   0.000     -.109139   -.0353374
       1991  |  -.1113184    .018547    -6.00   0.000    -.1485712   -.0740657
       1992  |  -.1274587   .0212584    -6.00   0.000    -.1701574     -.08476
       1993  |  -.1155917   .0182325    -6.34   0.000    -.1522128   -.0789706
       1994  |  -.1140557   .0159166    -7.17   0.000     -.146025   -.0820863
       1995  |  -.1191138   .0189525    -6.28   0.000     -.157181   -.0810465
       1996  |  -.1237695   .0199357    -6.21   0.000    -.1638116   -.0837274
       1997  |  -.1049389   .0174413    -6.02   0.000    -.1399707   -.0699071
       1998  |  -.0542519   .0192536    -2.82   0.007    -.0929238     -.01558
       1999  |  -.0187848   .0173658    -1.08   0.285    -.0536652    .0160955
       2000  |    .003808   .0164013     0.23   0.817    -.0291349     .036751
       2001  |   .0268414   .0163744     1.64   0.107    -.0060477    .0597304
       2002  |   .0280222   .0174191     1.61   0.114    -.0069652    .0630095
       2003  |  -.0142792   .0127264    -1.12   0.267    -.0398409    .0112825
       2004  |  -.0312866   .0131253    -2.38   0.021    -.0576495   -.0049237
       2005  |  -.0274889   .0116108    -2.37   0.022    -.0508098   -.0041679
       2006  |  -.0192962    .011957    -1.61   0.113    -.0433127    .0047202
       2008  |  -.0098794   .0090863    -1.09   0.282    -.0281297     .008371
       2009  |    -.02022   .0081869    -2.47   0.017    -.0366638   -.0037761
       2010  |  -.0331994   .0107564    -3.09   0.003    -.0548043   -.0115945
       2011  |  -.0495414   .0122574    -4.04   0.000     -.074161   -.0249217
       2012  |  -.0777293   .0112258    -6.92   0.000    -.1002769   -.0551816
       2013  |   -.059524   .0116802    -5.10   0.000    -.0829844   -.0360635
       2014  |  -.0448681   .0143626    -3.12   0.003    -.0737162   -.0160201
       2015  |  -.0026296   .0146436    -0.18   0.858    -.0320421    .0267828
       2016  |    .013574   .0167716     0.81   0.422    -.0201127    .0472606
       2017  |   .0259367   .0180364     1.44   0.157    -.0102905     .062164
       2018  |   .0381798   .0202148     1.89   0.065    -.0024227    .0787824
       2019  |   .0594462   .0209187     2.84   0.006     .0174298    .1014626
             |
 entrycohort |
       1974  |  -.0726119   .0256287    -2.83   0.007    -.1240887   -.0211352
       1975  |  -.0689295   .0205069    -3.36   0.001    -.1101189   -.0277401
       1976  |  -.0535531   .0175249    -3.06   0.004    -.0887529   -.0183532
       1977  |  -.0248865   .0163579    -1.52   0.134    -.0577422    .0079693
       1978  |  -.0144428   .0134772    -1.07   0.289    -.0415126     .012627
       1979  |     .00491   .0122009     0.40   0.689    -.0195962    .0294162
       1980  |   .0120654   .0134905     0.89   0.375     -.015031    .0391618
       1981  |   .0127498   .0130024     0.98   0.332    -.0133663     .038866
       1982  |  -.0046584   .0117826    -0.40   0.694    -.0283244    .0190076
       1983  |    .003755   .0094486     0.40   0.693    -.0152231    .0227331
       1985  |   .0078283    .010979     0.71   0.479    -.0142237    .0298802
       1986  |   .0186927   .0112542     1.66   0.103     -.003912    .0412974
       1987  |   .0026017   .0132632     0.20   0.845    -.0240383    .0292417
       1988  |   .0078332   .0112915     0.69   0.491    -.0148465    .0305129
       1989  |   .0026286    .013736     0.19   0.849     -.024961    .0302182
       1990  |  -.0077455   .0121933    -0.64   0.528    -.0322364    .0167454
       1991  |  -.0095711   .0125716    -0.76   0.450     -.034822    .0156797
       1992  |  -.0207763   .0122237    -1.70   0.095    -.0453283    .0037757
       1993  |  -.0345269   .0102295    -3.38   0.001    -.0550735   -.0139804
       1994  |   -.012169   .0112033    -1.09   0.283    -.0346715    .0103334
       1995  |  -.0060793   .0098044    -0.62   0.538    -.0257721    .0136134
       1996  |  -.0014246   .0093663    -0.15   0.880    -.0202374    .0173882
       1997  |  -.0063432   .0141363    -0.45   0.656    -.0347369    .0220504
       1998  |  -.0111767   .0091162    -1.23   0.226    -.0294871    .0071336
       1999  |  -.0084031   .0118284    -0.71   0.481    -.0321612     .015355
       2000  |          0  (omitted)
       2001  |  -.0085302   .0092914    -0.92   0.363    -.0271924    .0101321
       2002  |  -.0178086    .012498    -1.42   0.160    -.0429115    .0072943
       2003  |  -.0229738   .0128915    -1.78   0.081     -.048867    .0029195
       2004  |  -.0157199   .0117352    -1.34   0.186    -.0392908     .007851
       2005  |  -.0044396   .0138206    -0.32   0.749     -.032199    .0233198
       2006  |  -.0115668   .0146956    -0.79   0.435    -.0410837    .0179501
       2007  |  -.0153806   .0157324    -0.98   0.333    -.0469801    .0162189
       2008  |  -.0144241   .0188686    -0.76   0.448    -.0523229    .0234747
       2009  |   -.040098   .0197248    -2.03   0.047    -.0797164   -.0004796
       2010  |  -.0270186   .0236447    -1.14   0.259    -.0745104    .0204733
       2011  |  -.0246563   .0216171    -1.14   0.259    -.0680756    .0187629
       2012  |  -.0379982   .0210896    -1.80   0.078     -.080358    .0043616
       2013  |  -.0459541    .025829    -1.78   0.081    -.0978332     .005925
       2014  |  -.0468649   .0250457    -1.87   0.067    -.0971707    .0034408
             |
      fipsst |
         AL  |  -.1587959   .0016343   -97.17   0.000    -.1620785   -.1555134
         AK  |   .0151498    .002227     6.80   0.000     .0106768    .0196229
         AZ  |   -.088216   .0017417   -50.65   0.000    -.0917143   -.0847176
         AR  |  -.1853654   .0021219   -87.36   0.000    -.1896274   -.1811035
         CO  |   -.129582   .0024375   -53.16   0.000    -.1344779    -.124686
         CT  |  -.0121295   .0045357    -2.67   0.010    -.0212398   -.0030192
         DE  |  -.0749411   .0017164   -43.66   0.000    -.0783886   -.0714936
         DC  |   .0069312    .010175     0.68   0.499    -.0135059    .0273682
         FL  |  -.1187913   .0009228  -128.72   0.000    -.1206449   -.1169377
         GA  |   -.087313    .000673  -129.74   0.000    -.0886648   -.0859612
         HI  |  -.1369627   .0004145  -330.45   0.000    -.1377951   -.1361302
         ID  |  -.1899324   .0030135   -63.03   0.000    -.1959852   -.1838796
         IL  |   -.069429   .0030356   -22.87   0.000    -.0755263   -.0633318
         IN  |  -.1549907   .0011622  -133.36   0.000    -.1573251   -.1526563
         IA  |  -.1973264   .0021481   -91.86   0.000     -.201641   -.1930118
         KS  |  -.1984105   .0024329   -81.55   0.000    -.2032972   -.1935239
         KY  |  -.1941499   .0013973  -138.95   0.000    -.1969565   -.1913434
         LA  |  -.1336595   .0013324  -100.32   0.000    -.1363357   -.1309834
         ME  |  -.2290411   .0005283  -433.55   0.000    -.2301022     -.22798
         MD  |  -.0322825   .0033864    -9.53   0.000    -.0390842   -.0254808
         MA  |  -.0266334   .0057914    -4.60   0.000    -.0382657   -.0150012
         MI  |  -.0803368   .0003924  -204.72   0.000     -.081125   -.0795487
         MN  |   -.106962   .0031067   -34.43   0.000    -.1132021   -.1007219
         MS  |  -.2360316   .0022158  -106.52   0.000    -.2404822   -.2315811
         MO  |  -.1613386   .0016332   -98.79   0.000    -.1646189   -.1580583
         MT  |  -.3059933   .0006421  -476.52   0.000     -.307283   -.3047035
         NE  |  -.2176493   .0015478  -140.61   0.000    -.2207583   -.2145404
         NV  |  -.0962919   .0040989   -23.49   0.000    -.1045247   -.0880591
         NH  |  -.1042077   .0028301   -36.82   0.000    -.1098921   -.0985233
         NJ  |    .008859   .0039023     2.27   0.028     .0010211     .016697
         NM  |  -.1534314   .0027918   -54.96   0.000     -.159039   -.1478239
         NY  |  -.0299786   .0039623    -7.57   0.000    -.0379371     -.02202
         NC  |  -.1455681   .0005126  -283.97   0.000    -.1465977   -.1445385
         ND  |  -.2340284   .0017134  -136.59   0.000    -.2374698    -.230587
         OH  |  -.1393304   .0009262  -150.44   0.000    -.1411907   -.1374702
         OK  |  -.1689771   .0010309  -163.91   0.000    -.1710478   -.1669065
         OR  |  -.1719227   .0005424  -316.98   0.000    -.1730121   -.1708333
         PA  |  -.1122478   .0023952   -46.86   0.000    -.1170587   -.1074369
         RI  |  -.1061079   .0025316   -41.91   0.000    -.1111927    -.101023
         SC  |  -.1742223   .0006259  -278.33   0.000    -.1754795    -.172965
         SD  |  -.2683191   .0008276  -324.21   0.000    -.2699814   -.2666568
         TN  |  -.1953965   .0003921  -498.36   0.000     -.196184    -.194609
         TX  |  -.0678248   .0009756   -69.52   0.000    -.0697844   -.0658653
         UT  |  -.1864054   .0021344   -87.33   0.000    -.1906924   -.1821183
         VT  |  -.2130247   .0036125   -58.97   0.000    -.2202807   -.2057687
         VA  |  -.0629815   .0030686   -20.52   0.000     -.069145    -.056818
         WA  |  -.0589576   .0005528  -106.65   0.000    -.0600679   -.0578472
         WV  |  -.1482256   .0023685   -62.58   0.000    -.1529829   -.1434683
         WI  |  -.1598219   .0008676  -184.21   0.000    -.1615645   -.1580793
         WY  |  -.2110737   .0021401   -98.63   0.000    -.2153722   -.2067752
             |
     imr_ycs |  -.0439497   .0171406    -2.56   0.013    -.0783775   -.0095218
       _cons |   3.145579   .0233091   134.95   0.000     3.098761    3.192396
------------------------------------------------------------------------------
(9,141 missing values generated)
Model mE1b:  reg rw_l ib10.exper ib2007.year ib1984o2000.entrycohort ib6.fipsst imr_ycs c.ur_st#c.expgp0 c.ur_st#c.expgp2 c.ur_st#c.
> expgp4 c.ur_st#c.expgp6 c.ur_st#c.expgp8 dur c.ur0#c.expgp0 c.ur0#c.expgp2 c.ur0#c.expgp4 c.ur0#c.expgp6 c.ur0#c.expgp8 dur0 if es
> tsampb==1 & educ2==1  [aweight= orgwgt], cluster(fipsst)
(sum of wgt is 636,268,244.16076)
note: 5.exper omitted because of collinearity.
note: 10b.exper identifies no observations in the sample.
note: c.ur_st#c.expgp4 omitted because of collinearity.
note: c.ur_st#c.expgp6 omitted because of collinearity.
note: c.ur_st#c.expgp8 omitted because of collinearity.
note: c.ur0#c.expgp4 omitted because of collinearity.
note: c.ur0#c.expgp6 omitted because of collinearity.
note: c.ur0#c.expgp8 omitted because of collinearity.

Linear regression                               Number of obs     =     23,056
                                                F(49, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.4969
                                                Root MSE          =     .14807

                                    (Std. err. adjusted for 51 clusters in fipsst)
----------------------------------------------------------------------------------
                 |               Robust
            rw_l | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-----------------+----------------------------------------------------------------
           exper |
              0  |  -.3263438   .0178024   -18.33   0.000    -.3621009   -.2905867
              1  |  -.2632168    .015248   -17.26   0.000    -.2938433   -.2325903
              2  |  -.1976146   .0113826   -17.36   0.000    -.2204772   -.1747519
              3  |  -.0685171   .0111194    -6.16   0.000    -.0908511   -.0461831
              4  |  -.0410726   .0033516   -12.25   0.000    -.0478044   -.0343407
              5  |          0  (omitted)
             10  |          0  (empty)
                 |
            year |
           1979  |   .0051625   .0292748     0.18   0.861    -.0536375    .0639626
           1980  |  -.0449403    .026025    -1.73   0.090     -.097213    .0073325
           1981  |  -.0774601   .0251945    -3.07   0.003    -.1280647   -.0268556
           1982  |  -.0963162   .0258714    -3.72   0.001    -.1482804   -.0443519
           1983  |  -.1041474   .0249062    -4.18   0.000    -.1541729   -.0541219
           1984  |  -.0919488    .021562    -4.26   0.000    -.1352574   -.0486401
           1985  |  -.0758921   .0236397    -3.21   0.002    -.1233738   -.0284104
           1986  |  -.0693805   .0176472    -3.93   0.000    -.1048259    -.033935
           1987  |   -.064762    .018373    -3.52   0.001    -.1016653   -.0278587
           1988  |  -.0788468   .0193642    -4.07   0.000    -.1177409   -.0399526
           1989  |  -.0748001   .0184049    -4.06   0.000    -.1117675   -.0378328
           1990  |  -.0748181   .0187991    -3.98   0.000    -.1125773   -.0370589
           1991  |   -.115688   .0192138    -6.02   0.000    -.1542801   -.0770959
           1992  |    -.13155   .0213277    -6.17   0.000     -.174388    -.088712
           1993  |  -.1170658   .0188591    -6.21   0.000    -.1549454   -.0791863
           1994  |  -.1137532   .0165686    -6.87   0.000    -.1470323   -.0804741
           1995  |  -.1198697   .0191307    -6.27   0.000    -.1582949   -.0814444
           1996  |   -.127541   .0203412    -6.27   0.000    -.1683975   -.0866845
           1997  |  -.1096984   .0177019    -6.20   0.000    -.1452537    -.074143
           1998  |  -.0589827   .0197747    -2.98   0.004    -.0987015    -.019264
           1999  |  -.0231039   .0174685    -1.32   0.192    -.0581904    .0119827
           2000  |  -.0003383    .016824    -0.02   0.984    -.0341303    .0334537
           2001  |   .0217019   .0167603     1.29   0.201     -.011962    .0553659
           2002  |   .0223115    .017975     1.24   0.220    -.0137924    .0584154
           2003  |  -.0180601   .0126733    -1.43   0.160    -.0435152    .0073949
           2004  |  -.0319694   .0133497    -2.39   0.020    -.0587831   -.0051557
           2005  |  -.0268331   .0116241    -2.31   0.025    -.0501809   -.0034854
           2006  |  -.0184725   .0120137    -1.54   0.130    -.0426027    .0056578
           2008  |  -.0111949   .0092001    -1.22   0.229    -.0296738     .007284
           2009  |  -.0256811   .0090107    -2.85   0.006    -.0437795   -.0075826
           2010  |  -.0343553   .0118895    -2.89   0.006    -.0582359   -.0104746
           2011  |  -.0456376    .012612    -3.62   0.001    -.0709696   -.0203056
           2012  |  -.0710412   .0119605    -5.94   0.000    -.0950646   -.0470178
           2013  |  -.0558892   .0109209    -5.12   0.000    -.0778245   -.0339538
           2014  |   -.044678   .0136726    -3.27   0.002    -.0721402   -.0172158
           2015  |  -.0040662   .0142333    -0.29   0.776    -.0326547    .0245223
           2016  |   .0094415   .0164622     0.57   0.569    -.0236239    .0425068
           2017  |   .0191968   .0178227     1.08   0.287    -.0166012    .0549949
           2018  |   .0298064   .0188887     1.58   0.121    -.0081326    .0677454
           2019  |   .0511396   .0203881     2.51   0.015     .0101888    .0920903
                 |
     entrycohort |
           1974  |  -.0858916   .0277593    -3.09   0.003    -.1416478   -.0301353
           1975  |  -.0794881   .0225628    -3.52   0.001    -.1248069   -.0341694
           1976  |  -.0610484   .0187639    -3.25   0.002    -.0987368     -.02336
           1977  |  -.0321171    .018451    -1.74   0.088     -.069177    .0049428
           1978  |  -.0242123   .0143177    -1.69   0.097    -.0529703    .0045456
           1979  |  -.0073755   .0135421    -0.54   0.588    -.0345756    .0198247
           1980  |   .0024859   .0148278     0.17   0.868    -.0272966    .0322684
           1981  |   .0042434   .0133304     0.32   0.752    -.0225316    .0310184
           1982  |  -.0052828   .0113902    -0.46   0.645    -.0281607     .017595
           1983  |   .0066511   .0089487     0.74   0.461     -.011323    .0246251
           1985  |   .0093022   .0106969     0.87   0.389     -.012183    .0307875
           1986  |   .0220903   .0102997     2.14   0.037     .0014028    .0427777
           1987  |   .0052499   .0128093     0.41   0.684    -.0204783    .0309781
           1988  |   .0090507   .0114542     0.79   0.433    -.0139557    .0320571
           1989  |   .0022603   .0140163     0.16   0.873    -.0258923    .0304129
           1990  |  -.0071576   .0127114    -0.56   0.576    -.0326891     .018374
           1991  |  -.0041271   .0123584    -0.33   0.740    -.0289497    .0206955
           1992  |  -.0116153   .0113855    -1.02   0.313    -.0344837    .0112531
           1993  |  -.0258476   .0106749    -2.42   0.019    -.0472888   -.0044065
           1994  |  -.0050654   .0108071    -0.47   0.641    -.0267722    .0166414
           1995  |   .0005443   .0089584     0.06   0.952    -.0174492    .0185378
           1996  |    .006442   .0094418     0.68   0.498    -.0125224    .0254064
           1997  |   .0014021   .0136604     0.10   0.919    -.0260357    .0288399
           1998  |  -.0051138   .0092076    -0.56   0.581    -.0236078    .0133801
           1999  |  -.0048638   .0114058    -0.43   0.672    -.0277731    .0180455
           2000  |          0  (omitted)
           2001  |  -.0074503   .0092143    -0.81   0.423    -.0259578    .0110572
           2002  |  -.0142539   .0127088    -1.12   0.267    -.0397802    .0112724
           2003  |  -.0179455   .0133078    -1.35   0.184     -.044675     .008784
           2004  |  -.0104725   .0123712    -0.85   0.401    -.0353208    .0143757
           2005  |  -.0007103   .0147491    -0.05   0.962    -.0303347    .0289141
           2006  |   -.011683      .0147    -0.79   0.431    -.0412088    .0178429
           2007  |  -.0191566   .0164233    -1.17   0.249    -.0521438    .0138307
           2008  |  -.0187076   .0195092    -0.96   0.342     -.057893    .0204778
           2009  |  -.0344859   .0195749    -1.76   0.084    -.0738033    .0048315
           2010  |  -.0182141   .0232853    -0.78   0.438     -.064984    .0285558
           2011  |  -.0146122   .0216866    -0.67   0.504    -.0581709    .0289466
           2012  |  -.0261454   .0205299    -1.27   0.209    -.0673809    .0150902
           2013  |  -.0323894   .0260594    -1.24   0.220    -.0847313    .0199525
           2014  |  -.0340238   .0259691    -1.31   0.196    -.0861843    .0181367
                 |
          fipsst |
             AL  |  -.1630774   .0016131  -101.09   0.000    -.1663175   -.1598374
             AK  |   .0176295   .0023167     7.61   0.000     .0129763    .0222827
             AZ  |  -.1034859   .0024934   -41.50   0.000    -.1084941   -.0984778
             AR  |  -.1987756   .0025688   -77.38   0.000    -.2039351   -.1936161
             CO  |  -.1531586   .0047818   -32.03   0.000    -.1627631   -.1435541
             CT  |  -.0347854   .0062421    -5.57   0.000     -.047323   -.0222479
             DE  |  -.1014566   .0047897   -21.18   0.000     -.111077   -.0918363
             DC  |   .0168979   .0099569     1.70   0.096    -.0031011    .0368968
             FL  |  -.1348892   .0022845   -59.05   0.000    -.1394777   -.1303007
             GA  |  -.1038724   .0026144   -39.73   0.000    -.1091235   -.0986213
             HI  |  -.1700168    .005274   -32.24   0.000    -.1806099   -.1594237
             ID  |  -.2108797   .0038984   -54.09   0.000    -.2187098   -.2030496
             IL  |  -.0725539   .0031735   -22.86   0.000    -.0789281   -.0661798
             IN  |  -.1695206    .002547   -66.56   0.000    -.1746365   -.1644047
             IA  |  -.2326083   .0061817   -37.63   0.000    -.2450246    -.220192
             KS  |  -.2323887   .0062337   -37.28   0.000    -.2449095   -.2198679
             KY  |    -.20208   .0016429  -123.01   0.000    -.2053797   -.1987802
             LA  |  -.1374712   .0015176   -90.58   0.000    -.1405195   -.1344229
             ME  |  -.2496036    .003271   -76.31   0.000    -.2561735   -.2430337
             MD  |  -.0579732   .0056887   -10.19   0.000    -.0693993   -.0465471
             MA  |  -.0476524   .0071326    -6.68   0.000    -.0619787   -.0333262
             MI  |  -.0720007   .0012135   -59.33   0.000    -.0744381   -.0695632
             MN  |  -.1371826   .0061143   -22.44   0.000    -.1494636   -.1249016
             MS  |  -.2347758   .0023227  -101.08   0.000    -.2394411   -.2301105
             MO  |  -.1781257   .0033122   -53.78   0.000    -.1847784   -.1714731
             MT  |  -.3288793   .0036018   -91.31   0.000    -.3361136   -.3216449
             NE  |  -.2668789   .0080145   -33.30   0.000    -.2829765   -.2507812
             NV  |  -.1068589   .0037186   -28.74   0.000    -.1143279   -.0993899
             NH  |  -.1432663   .0071295   -20.09   0.000    -.1575864   -.1289462
             NJ  |  -.0035999   .0046814    -0.77   0.446    -.0130028    .0058029
             NM  |  -.1666874   .0029831   -55.88   0.000    -.1726791   -.1606957
             NY  |  -.0394416   .0044892    -8.79   0.000    -.0484584   -.0304248
             NC  |  -.1636937   .0028228   -57.99   0.000    -.1693634   -.1580239
             ND  |  -.2807893   .0077905   -36.04   0.000     -.296437   -.2651415
             OH  |  -.1472908   .0017418   -84.56   0.000    -.1507892   -.1437923
             OK  |  -.2003864   .0048302   -41.49   0.000    -.2100882   -.1906847
             OR  |   -.174952   .0006264  -279.29   0.000    -.1762102   -.1736938
             PA  |  -.1237682   .0032991   -37.52   0.000    -.1303947   -.1171417
             RI  |  -.1156737   .0032249   -35.87   0.000    -.1221511   -.1091963
             SC  |  -.1832197   .0014093  -130.00   0.000    -.1860505    -.180389
             SD  |  -.3162785   .0075294   -42.01   0.000    -.3314019   -.3011552
             TN  |  -.2075689   .0019151  -108.38   0.000    -.2114156   -.2037223
             TX  |  -.0873191   .0028392   -30.76   0.000    -.0930217   -.0816164
             UT  |  -.2211213   .0050617   -43.69   0.000     -.231288   -.2109545
             VT  |  -.2467349   .0069605   -35.45   0.000    -.2607154   -.2327543
             VA  |  -.0960912   .0064325   -14.94   0.000    -.1090113   -.0831711
             WA  |  -.0653996   .0011515   -56.80   0.000    -.0677125   -.0630868
             WV  |  -.1412487   .0027313   -51.72   0.000    -.1467346   -.1357628
             WI  |  -.1830689   .0038867   -47.10   0.000    -.1908755   -.1752622
             WY  |  -.2488283   .0059416   -41.88   0.000    -.2607624   -.2368943
                 |
         imr_ycs |   -.031476   .0166882    -1.89   0.065    -.0649953    .0020432
                 |
c.ur_st#c.expgp0 |   .0054436   .0031783     1.71   0.093    -.0009403    .0118274
                 |
c.ur_st#c.expgp2 |   .0024515   .0016946     1.45   0.154    -.0009523    .0058553
                 |
c.ur_st#c.expgp4 |          0  (omitted)
                 |
c.ur_st#c.expgp6 |          0  (omitted)
                 |
c.ur_st#c.expgp8 |          0  (omitted)
                 |
             dur |  -.0025121     .00141    -1.78   0.081    -.0053441    .0003199
                 |
  c.ur0#c.expgp0 |  -.0071954   .0036992    -1.95   0.057    -.0146254    .0002346
                 |
  c.ur0#c.expgp2 |  -.0054236    .001823    -2.98   0.005    -.0090853    -.001762
                 |
  c.ur0#c.expgp4 |          0  (omitted)
                 |
  c.ur0#c.expgp6 |          0  (omitted)
                 |
  c.ur0#c.expgp8 |          0  (omitted)
                 |
            dur0 |  -.0090769   .0016378    -5.54   0.000    -.0123664   -.0057874
           _cons |   3.141943   .0233491   134.56   0.000     3.095045    3.188841
----------------------------------------------------------------------------------

.  save `prepdata'/`dofile'_fitted.dta, replace
(file /accounts/projects/jr_ra/GRscarring/erratum/scratch/runatc_balanced_fitted.dta not found)
file /accounts/projects/jr_ra/GRscarring/erratum/scratch/runatc_balanced_fitted.dta saved

. 
.   // Loop back through one more time and load, append, and save the coefficient
.   // data sets.    
.    tempfile allmodels  

.    local first=1

.    foreach v in `dvlist' {
  2.      foreach e in 0 1 {
  3.        use `mB`e'b_`v'', clear
  4.        tempfile allm`e'_`v'
  5.        save `allm`e'_`v''
  6.        
.        if `first'==1 {
  7.          use `mB`e'b_`v'', clear
  8.          append using `mE`e'b_`v''
  9.        }
 10.        if `first'~=1 {
 11.          use `allmodels', clear
 12.          append using `mB`e'b_`v''
 13.          append using `mE`e'b_`v''
 14.        }
 15.        save `allmodels', replace
 16.        local first=0 
 17.        }
 18.      }
file /tmp/St2868349.000029 saved as .dta format
(variable ivartype was str10, now str11 to accommodate using data's values)
(variable ivartxt was str17, now str18 to accommodate using data's values)
(file /tmp/St2868349.000028 not found)
file /tmp/St2868349.000028 saved as .dta format
file /tmp/St2868349.00002a saved as .dta format
file /tmp/St2868349.000028 saved as .dta format
file /tmp/St2868349.00002b saved as .dta format
(variable depvar was str4, now str17 to accommodate using data's values)
file /tmp/St2868349.000028 saved as .dta format
file /tmp/St2868349.00002c saved as .dta format
file /tmp/St2868349.000028 saved as .dta format
file /tmp/St2868349.00002d saved as .dta format
file /tmp/St2868349.000028 saved as .dta format
file /tmp/St2868349.00002e saved as .dta format
file /tmp/St2868349.000028 saved as .dta format

.   
.    
.    // Check that everything is successfully identified
.     qui duplicates report model depvar ivartype cvname fvname fvval

.     if r(N)~=r(unique_value) {
.       di in red "Observations in coefficients dataset are not uniquely identified"
.       err
.     }  

.    save `prepdata'/`dofile'_coeffs.dta, replace
(file /accounts/projects/jr_ra/GRscarring/erratum/scratch/runatc_balanced_coeffs.dta not found)
file /accounts/projects/jr_ra/GRscarring/erratum/scratch/runatc_balanced_coeffs.dta saved

.  
.  if `doasproject'==1 {
.         project, creates(`prepdata'/`dofile'_fitted.dta)
project GRscar_erratum > do-file creates: "/scratch/public/jr_ra/GRscarring2024/erratum/scratch/runatc_balanced_fitted.dta" filesig(
> 4224377637:53683628)
.         project, creates(`prepdata'/`dofile'_coeffs.dta)
project GRscar_erratum > do-file creates: "/scratch/public/jr_ra/GRscarring2024/erratum/scratch/runatc_balanced_coeffs.dta" filesig(
> 2195897054:174027)
.  }

.  
.  
. 
end of do-file
      name:  plog_935
       log:  /accounts/projects/jr_ra/GRscarring/erratum/programs/analysis/runatc_balanced.log
  log type:  text
 closed on:  27 Nov 2024, 18:08:44
------------------------------------------------------------------------------------------------------------------------------------
